Table of Contents

• Data Structures for Density EstimationAnders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal. 1-18 [doi]
• ClusterFuG: Clustering Fully connected Graphs by MulticutAhmed Abbas, Paul Swoboda. 19-30 [doi]
• Generalization on the Unseen, Logic Reasoning and Degree CurriculumEmmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk. 31-60 [doi]
• Toward Large Kernel ModelsAmirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit. 61-78 [doi]
• Expertise Trees Resolve Knowledge Limitations in Collective Decision-MakingAxel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé. 79-90 [doi]
• Comparison of meta-learners for estimating multi-valued treatment heterogeneous effectsNaoufal Acharki, Ramiro Lugo, Antoine Bertoncello, Josselin Garnier. 91-132 [doi]
• BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic ProgrammingSteven Adams, Andrea Patane, Morteza Lahijanian, Luca Laurenti. 133-151 [doi]
• SAM operates far from home: eigenvalue regularization as a dynamical phenomenonAtish Agarwala, Yann N. Dauphin. 152-168 [doi]
• Second-order regression models exhibit progressive sharpening to the edge of stabilityAtish Agarwala, Fabian Pedregosa, Jeffrey Pennington. 169-195 [doi]
• Global optimality of Elman-type RNNs in the mean-field regimeAndrea Agazzi, Jianfeng Lu, Sayan Mukherjee 0001. 196-227 [doi]
• SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme ClassificationPranjal Aggarwal, Ameet Deshpande, Karthik R. Narasimhan. 228-247 [doi]
• Adaptive IMLE for Few-shot Pretraining-free Generative ModellingMehran Aghabozorgi, Shichong Peng, Ke Li 0011. 248-264 [doi]
• Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer. 265-279 [doi]
• Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic StabilityAnass Aghbalou, Guillaume Staerman. 280-303 [doi]
• Constrained Causal Bayesian OptimizationVirginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa. 304-321 [doi]
• Explaining the effects of non-convergent MCMC in the training of Energy-Based ModelsElisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane. 322-336 [doi]
• Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject StudiesGati V. Aher, Rosa I. Arriaga, Adam Tauman Kalai. 337-371 [doi]
• Interventional Causal Representation LearningKartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio. 372-407 [doi]
• Sequential Underspecified Instrument Selection for Cause-Effect EstimationElisabeth Ailer, Jason S. Hartford, Niki Kilbertus. 408-420 [doi]
• Atari-5: Distilling the Arcade Learning Environment down to Five GamesMatthew Aitchison, Penny Sweetser, Marcus Hutter. 421-438 [doi]
• Towards credible visual model interpretation with path attributionNaveed Akhtar, Mohammad A. A. K. Jalwana. 439-457 [doi]
• Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent DataAhmet Alacaoglu, Hanbaek Lyu. 458-489 [doi]
• Recasting Self-Attention with Holographic Reduced RepresentationsMohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates 0001, James Holt. 490-507 [doi]
• The Saddle-Point Method in Differential PrivacyWael Alghamdi, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar. 508-528 [doi]
• Nonlinear Advantage: Trained Networks Might Not Be As Complex as You ThinkChristian H. X. Ali Mehmeti-Göpel, Jan Disselhoff. 529-546 [doi]
• A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image ModelsJames Urquhart Allingham, Jie Ren 0006, Michael W. Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan. 547-568 [doi]
• On the Privacy-Robustness-Utility Trilemma in Distributed LearningYoussef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan. 569-626 [doi]
• Differentially Private Distributed Bayesian Linear Regression with MCMCBaris Alparslan, Sinan Yildirim, S. Ilker Birbil. 627-641 [doi]
• Robust and Scalable Bayesian Online Changepoint DetectionMatías Altamirano, François-Xavier Briol, Jeremias Knoblauch. 642-663 [doi]
• Neural Wasserstein Gradient Flows for Discrepancies with Riesz KernelsFabian Altekrüger, Johannes Hertrich, Gabriele Steidl. 664-690 [doi]
• Distributed Contextual Linear Bandits with Minimax Optimal Communication CostSanae Amani, Tor Lattimore, András György 0001, Lin Yang 0011. 691-717 [doi]
• A Kernelized Stein Discrepancy for Biological SequencesAlan Nawzad Amin, Eli N. Weinstein, Debora Susan Marks. 718-767 [doi]
• The Optimal Approximation Factors in Misspecified Off-Policy Value Function EstimationPhilip Amortila, Nan Jiang 0008, Csaba Szepesvári. 768-790 [doi]
• Meta Optimal TransportBrandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko. 791-813 [doi]
• Near-Optimal Φ-Regret Learning in Extensive-Form GamesIoannis Anagnostides, Gabriele Farina, Tuomas Sandholm. 814-839 [doi]
• A Modern Look at the Relationship between Sharpness and GeneralizationMaksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein 0001, Nicolas Flammarion. 840-902 [doi]
• SGD with Large Step Sizes Learns Sparse FeaturesMaksym Andriushchenko, Aditya Vardhan Varre, Loucas Pillaud-Vivien, Nicolas Flammarion. 903-925 [doi]
• Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time SeriesAbdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh. 926-951 [doi]
• Paging with Succinct PredictionsAntonios Antoniadis 0001, Joan Boyar, Marek Eliás 0001, Lene Monrad Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak 0001, Bertrand Simon. 952-968 [doi]
• Mixing Predictions for Online Metric AlgorithmsAntonios Antoniadis 0001, Christian Coester, Marek Eliás 0001, Adam Polak 0001, Bertrand Simon. 969-983 [doi]
• Exponential Smoothing for Off-Policy LearningImad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba. 984-1017 [doi]
• Polynomial Time and Private Learning of Unbounded Gaussian Mixture ModelsJamil Arbas, Hassan Ashtiani, Christopher Liaw. 1018-1040 [doi]
• Principled Acceleration of Iterative Numerical Methods Using Machine LearningSohei Arisaka, Qianxiao Li. 1041-1059 [doi]
• Faster Rates of Convergence to Stationary Points in Differentially Private OptimizationRaman Arora, Raef Bassily, Tomás González, Cristóbal Guzmán, Michael Menart, Enayat Ullah. 1060-1092 [doi]
• Prototype-Sample Relation Distillation: Towards Replay-Free Continual LearningNader Asadi, MohammadReza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky. 1093-1106 [doi]
• Near-Optimal Algorithms for Private Online Optimization in the Realizable RegimeHilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar. 1107-1120 [doi]
• From Robustness to Privacy and BackHilal Asi, Jonathan R. Ullman, Lydia Zakynthinou. 1121-1146 [doi]
• SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine VarianceAmit Attia, Tomer Koren. 1147-1171 [doi]
• Adversarially Robust PAC Learnability of Real-Valued FunctionsIdan Attias, Steve Hanneke. 1172-1199 [doi]
• Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric ReasoningMattia Atzeni, Mrinmaya Sachan, Andreas Loukas. 1200-1217 [doi]
• Learning to Initiate and Reason in Event-Driven Cascading ProcessesYuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik. 1218-1243 [doi]
• On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithmJulien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret. 1244-1275 [doi]
• Dirichlet Diffusion Score Model for Biological Sequence GenerationPavel Avdeyev, Chenlai Shi, Yuhao Tan, Kseniia Dudnyk, Jian Zhou. 1276-1301 [doi]
• Gradient Descent Converges Linearly for Logistic Regression on Separable DataKyriakos Axiotis, Maxim Sviridenko. 1302-1319 [doi]
• Naive imputation implicitly regularizes high-dimensional linear modelsAlexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet. 1320-1340 [doi]
• Half-Hop: A graph upsampling approach for slowing down message passingMehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Velickovic, Eva L. Dyer. 1341-1360 [doi]
• CLUTR: Curriculum Learning via Unsupervised Task Representation LearningAbdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica. 1361-1395 [doi]
• Personalized Subgraph Federated LearningJinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang. 1396-1415 [doi]
• Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and LanguageAlexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli. 1416-1429 [doi]
• Efficient preconditioned stochastic gradient descent for estimation in latent variable modelsCharlotte Baey, Maud Delattre, Estelle Kuhn, Jean-Benoist Leger, Sarah Lemler. 1430-1453 [doi]
• Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and DetectionHaoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li 0001. 1454-1471 [doi]
• Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree OptimizationYushi Bai, Xin Lv, Juanzi Li, Lei Hou. 1472-1491 [doi]
• Linear optimal partial transport embeddingYikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Muhammad Shahroz Khan, Soheil Kolouri. 1492-1520 [doi]
• Implicit Graph Neural Networks: A Monotone Operator ViewpointJustin Baker, Qingsong Wang, Cory D. Hauck, Bao Wang. 1521-1548 [doi]
• Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical SystemsAinesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau. 1549-1563 [doi]
• Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed ArchitecturesOleg Balabanov, Matthias Beaupère, Laura Grigori, Victor Lederer. 1564-1576 [doi]
• Efficient Online Reinforcement Learning with Offline DataPhilip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine. 1577-1594 [doi]
• Mirror Sinkhorn: Fast Online Optimization on Transport PolytopesMarin Ballu, Quentin Berthet. 1595-1613 [doi]
• On the Functional Similarity of Robust and Non-Robust Neural RepresentationsAndrás Balogh, Márk Jelasity. 1614-1635 [doi]
• Robust Budget Pacing with a Single SampleSantiago R. Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang. 1636-1659 [doi]
• Dynamic Constrained Submodular Optimization with Polylogarithmic Update TimeKiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh. 1660-1691 [doi]
• One Transformer Fits All Distributions in Multi-Modal Diffusion at ScaleFan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su 0006, Jun Zhu 0001. 1692-1717 [doi]
• Optimizing the Collaboration Structure in Cross-Silo Federated LearningWenxuan Bao, Haohan Wang, Jun Wu 0019, Jingrui He. 1718-1736 [doi]
• MultiDiffusion: Fusing Diffusion Paths for Controlled Image GenerationOmer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel. 1737-1752 [doi]
• Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action SpaceAnas Barakat, Ilyas Fatkhullin, Niao He. 1753-1800 [doi]
• Interpretable Neural-Symbolic Concept ReasoningPietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra. 1801-1825 [doi]
• Moccasin: Efficient Tensor Rematerialization for Neural NetworksBurak Bartan, Haoming Li 0002, Harris Teague, Christopher Lott, Bistra Dilkina. 1826-1837 [doi]
• User-level Private Stochastic Convex Optimization with Optimal RatesRaef Bassily, Ziteng Sun. 1838-1851 [doi]
• A Statistical Perspective on Retrieval-Based ModelsSoumya Basu 0001, Ankit Singh Rawat, Manzil Zaheer. 1852-1886 [doi]
• Human-Timescale Adaptation in an Open-Ended Task SpaceJakob Bauer, Kate Baumli, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes 0001, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh 0001, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang. 1887-1935 [doi]
• A Kernel Stein Test of Goodness of Fit for Sequential ModelsJerome Baum, Heishiro Kanagawa, Arthur Gretton. 1936-1953 [doi]
• Individually Fair Learning with One-Sided FeedbackYahav Bechavod, Aaron Roth 0001. 1954-1977 [doi]
• Predicting Ordinary Differential Equations with TransformersSören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus. 1978-2002 [doi]
• Explaining Reinforcement Learning with Shapley ValuesDaniel Beechey, Thomas M. S. Smith, Özgür Simsek. 2003-2014 [doi]
• TIDE: Time Derivative Diffusion for Deep Learning on GraphsMaysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov. 2015-2030 [doi]
• Fast as CHITA: Neural Network Pruning with Combinatorial OptimizationRiade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh 0001, Natalia Ponomareva, Zhe Zhao 0001, Rahul Mazumder. 2031-2049 [doi]
• Continuously Parameterized Mixture ModelsChristopher M. Bender, Yifeng Shi, Marc Niethammer, Junier Oliva. 2050-2062 [doi]
• Controllable Neural Symbolic RegressionTommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny. 2063-2077 [doi]
• On Second-Order Scoring Rules for Epistemic Uncertainty QuantificationViktor Bengs, Eyke Hüllermeier, Willem Waegeman. 2078-2091 [doi]
• Certified Robust Neural Networks: Generalization and Corruption ResistanceM. Amine Bennouna, Ryan Lucas, Bart P. G. Van Parys. 2092-2112 [doi]
• Gaussian processes at the Helm(holtz): A more fluid model for ocean currentsRenato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan, Tamay M. Özgökmen, Junfei Xia, Tamara Broderick. 2113-2163 [doi]
• Optimal Rates and Efficient Algorithms for Online Bayesian PersuasionMartino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti 0001. 2164-2183 [doi]
• Constrained Phi-EquilibriaMartino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti 0001. 2184-2205 [doi]
• Differentiable and Transportable Structure LearningJeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar. 2206-2233 [doi]
• Polyhedral Complex Extraction from ReLU Networks using Edge SubdivisionArturs Berzins. 2234-2244 [doi]
• Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural NetworksLouis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis. 2245-2271 [doi]
• Neural Algorithmic Reasoning with Causal RegularisationBeatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Velickovic. 2272-2288 [doi]
• Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceAyush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, François-Xavier Briol. 2289-2312 [doi]
• Bandit Online Linear Optimization with Hints and QueriesAditya Bhaskara, Ashok Cutkosky, Ravi Kumar 0001, Manish Purohit. 2313-2336 [doi]
• Improved Online Conformal Prediction via Strongly Adaptive Online LearningAadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai 0017. 2337-2363 [doi]
• Data-Copying in Generative Models: A Formal FrameworkRobi Bhattacharjee, Sanjoy Dasgupta, Kamalika Chaudhuri. 2364-2396 [doi]
• Pythia: A Suite for Analyzing Large Language Models Across Training and ScalingStella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar van der Wal. 2397-2430 [doi]
• StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy LandscapesVaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan. 2431-2451 [doi]
• Modeling Temporal Data as Continuous Functions with Stochastic Process DiffusionMarin Bilos, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann. 2452-2470 [doi]
• In or Out? Fixing ImageNet Out-of-Distribution Detection EvaluationJulian Bitterwolf, Maximilian Müller, Matthias Hein 0001. 2471-2506 [doi]
• Invariant Slot Attention: Object Discovery with Slot-Centric Reference FramesOndrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf. 2507-2527 [doi]
• Understanding Oversquashing in GNNs through the Lens of Effective ResistanceMitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang 0001. 2528-2547 [doi]
• Unit Scaling: Out-of-the-Box Low-Precision TrainingCharlie Blake, Douglas Orr, Carlo Luschi. 2548-2576 [doi]
• FLEX: an Adaptive Exploration Algorithm for Nonlinear SystemsMatthieu Blanke, Marc Lelarge. 2577-2591 [doi]
• Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating CircuitsMarkus Bläser. 2592-2602 [doi]
• Learning the Dynamics of Sparsely Observed Interacting SystemsLinus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux. 2603-2640 [doi]
• Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score FunctionsNiclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi. 2641-2688 [doi]
• Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an ExperimentalistNiclas Boehmer, Piotr Faliszewski, Sonja Kraiczy. 2689-2711 [doi]
• A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural NetworksDavid Boetius, Stefan Leue, Tobias Sutter. 2712-2737 [doi]
• Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent KernelsSimone Bombari, Shayan Kiyani, Marco Mondelli. 2738-2776 [doi]
• Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsClément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau 0001, Matthieu Kowalski, Nicolas Courty. 2777-2805 [doi]
• Spherical Fourier Neural Operators: Learning Stable Dynamics on the SphereBoris Bonev, Thorsten Kurth, Christian Hundt 0002, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar. 2806-2823 [doi]
• The Regret of Exploration and the Control of Bad Episodes in Reinforcement LearningVictor Boone, Bruno Gaujal. 2824-2856 [doi]
• Model-agnostic Measure of Generalization DifficultyAkhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R. Fiete. 2857-2884 [doi]
• Returning The Favour: When Regression Benefits From Probabilistic Causal KnowledgeShahine Bouabid, Jake Fawkes, Dino Sejdinovic. 2885-2913 [doi]
• In Search for a Generalizable Method for Source Free Domain AdaptationMalik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou. 2914-2931 [doi]
• Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs SamplingAdam Bouland, Yosheb M. Getachew, Yujia Jin, Aaron Sidford, Kevin Tian. 2932-2952 [doi]
• Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre. 2953-3002 [doi]
• Settling the Reward HypothesisMichael Bowling, John D. Martin, David Abel, Will Dabney. 3003-3020 [doi]
• ILLUME: Rationalizing Vision-Language Models through Human InteractionsManuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting. 3021-3037 [doi]
• Provably Learning Object-Centric RepresentationsJack Brady, Roland S. Zimmermann, Yash Sharma 0001, Bernhard Schölkopf, Julius von Kügelgen, Wieland Brendel. 3038-3062 [doi]
• Quantifying Human Priors over Social and Navigation NetworksGecia Bravo Hermsdorff. 3063-3105 [doi]
• Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein LossPierre Bréchet, Katerina Papagiannouli, Jing An, Guido Montúfar. 3106-3147 [doi]
• Emergence of Sparse Representations from NoiseTrenton Bricken, Rylan Schaeffer, Bruno A. Olshausen, Gabriel Kreiman. 3148-3191 [doi]
• Differentially Private Optimization on Large Model at Small CostZhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis. 3192-3218 [doi]
• Machine Learning Force Fields with Data Cost Aware TrainingAlexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao. 3219-3232 [doi]
• Label differential privacy and private training data releaseRóbert Istvan Busa-Fekete, Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii. 3233-3251 [doi]
• The SSL Interplay: Augmentations, Inductive Bias, and GeneralizationVivien Cabannes, Bobak Toussi Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti. 3252-3298 [doi]
• Online Mechanism Design for Information AcquisitionFederico Cacciamani, Matteo Castiglioni, Nicola Gatti 0001. 3299-3326 [doi]
• MyoDex: A Generalizable Prior for Dexterous ManipulationVittorio Caggiano, Sudeep Dasari, Vikash Kumar. 3327-3346 [doi]
• What Can Be Learnt With Wide Convolutional Neural Networks?Francesco Cagnetta, Alessandro Favero, Matthieu Wyart. 3347-3379 [doi]
• Causal Discovery with Latent Confounders Based on Higher-Order CumulantsRuichu Cai, Zhiyi Huang 0008, Wei Chen 0103, Zhifeng Hao, Kun Zhang 0001. 3380-3407 [doi]
• On the Connection Between MPNN and Graph TransformerChen Cai, Truong-Son Hy, Rose Yu, Yusu Wang 0001. 3408-3430 [doi]
• Ske2Grid: Skeleton-to-Grid Representation Learning for Action RecognitionDongqi Cai, Yangyuxuan Kang, Anbang Yao, Yurong Chen 0001. 3431-3441 [doi]
• Extrapolated Random Tree for RegressionYuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang. 3442-3468 [doi]
• Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex OptimizationXufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas. 3469-3494 [doi]
• Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?Ruisi Cai, Zhenyu Zhang, Zhangyang Wang. 3495-3506 [doi]
• Doubly Optimal No-Regret Learning in Monotone GamesYang Cai 0001, Weiqiang Zheng. 3507-3524 [doi]
• Multi-Agent Learning from LearnersMine Melodi Caliskan, Francesco Chini, Setareh Maghsudi. 3525-3540 [doi]
• Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural NetworkYadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang. 3541-3558 [doi]
• Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler MinimizationJian Cao 0004, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss. 3559-3576 [doi]
• Learning Lightweight Object Detectors via Multi-Teacher Progressive DistillationShengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui. 3577-3598 [doi]
• One-sided Matrix Completion from Two Observations Per RowSteven Cao, Percy Liang, Gregory Valiant. 3599-3624 [doi]
• State and parameter learning with PARIS particle GibbsGabriel Cardoso 0001, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson. 3625-3675 [doi]
• Grounding Large Language Models in Interactive Environments with Online Reinforcement LearningThomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer. 3676-3713 [doi]
• Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement LearningNicolas Castanet, Olivier Sigaud, Sylvain Lamprier. 3714-3731 [doi]
• Scalable Safe Policy Improvement via Monte Carlo Tree SearchAlberto Castellini, Federico Bianchi 0002, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan. 3732-3756 [doi]
• LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated LearningTimothy Castiglia, Yi Zhou, Shiqiang Wang 0001, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson. 3757-3781 [doi]
• On the Robustness of Text VectorizersRémi Catellier, Samuel Vaiter, Damien Garreau. 3782-3814 [doi]
• Learning Globally Smooth Functions on ManifoldsJuan Cerviño, Luiz F. O. Chamon, Benjamin David Haeffele, René Vidal, Alejandro Ribeiro. 3815-3854 [doi]
• Tighter Lower Bounds for Shuffling SGD: Random Permutations and BeyondJaeyoung Cha, Jaewook Lee, Chulhee Yun. 3855-3912 [doi]
• Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled RepresentationsJaehoon Cha, Jeyan Thiyagalingam. 3913-3948 [doi]
• STEERING : Stein Information Directed Exploration for Model-Based Reinforcement LearningSouradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha. 3949-3978 [doi]
• Thompson Sampling for High-Dimensional Sparse Linear Contextual BanditsSunrit Chakraborty, Saptarshi Roy, Ambuj Tewari. 3979-4008 [doi]
• Representations and Exploration for Deep Reinforcement Learning using Singular Value DecompositionYash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Rémi Munos, Will Dabney, Diana L. Borsa. 4009-4034 [doi]
• Memory-Based Dual Gaussian Processes for Sequential LearningPaul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan. 4035-4054 [doi]
• Muse: Text-To-Image Generation via Masked Generative TransformersHuiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang 0004, Ming-Hsuan Yang 0001, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan. 4055-4075 [doi]
• On Investigating the Conservative Property of Score-Based Generative ModelsChen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee. 4076-4095 [doi]
• Robust and private stochastic linear banditsVasileios Charisopoulos, Hossein Esfandiari, Vahab Mirrokni. 4096-4115 [doi]
• Streaming Submodular Maximization with Differential PrivacyAnamay Chaturvedi, Huy L. Nguyen, Thy Dinh Nguyen. 4116-4143 [doi]
• Why does Throwing Away Data Improve Worst-Group Error?Kamalika Chaudhuri, Kartik Ahuja, Martín Arjovsky, David Lopez-Paz. 4144-4188 [doi]
• Collaborative Multi-Agent Heterogeneous Multi-Armed BanditsRonshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant 0001. 4189-4217 [doi]
• Correcting discount-factor mismatch in on-policy policy gradient methodsFengdi Che, Gautham Vasan, A. Rupam Mahmood. 4218-4240 [doi]
• Fast Federated Machine Unlearning with Nonlinear Functional TheoryTianshi Che, Yang Zhou 0001, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan 0001, Dejing Dou, Jun Huan. 4241-4268 [doi]
• On the Statistical Benefits of Temporal Difference LearningDavid Cheikhi, Daniel Russo 0001. 4269-4293 [doi]
• Multi-Layer Neural Networks as Trainable Ladders of Hilbert SpacesZhengdao Chen. 4294-4329 [doi]
• Beyond the Edge of Stability via Two-step Gradient UpdatesLei Chen 0062, Joan Bruna. 4330-4391 [doi]
• Trompt: Towards a Better Deep Neural Network for Tabular DataKuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou, Ting-Wei Chen, Tien-Hao Chang. 4392-4434 [doi]
• Differentially Private Stochastic Convex Optimization under a Quantile Loss FunctionDu Chen, Geoffrey A. Chua. 4435-4461 [doi]
• Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type SamplersSitan Chen, Giannis Daras, Alex Dimakis. 4462-4484 [doi]
• Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series ImputationYu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka. 4485-4513 [doi]
• ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State MachinesSiyuan Chen, Pratik Pramod Fegade, TianQi Chen, Phillip B. Gibbons, Todd C. Mowry. 4514-4528 [doi]
• Is Learning Summary Statistics Necessary for Likelihood-free Inference?Yanzhi Chen, Michael U. Gutmann, Adrian Weller. 4529-4544 [doi]
• Subequivariant Graph Reinforcement Learning in 3D EnvironmentsRunfa Chen, Jiaqi Han, Fuchun Sun 0001, Wenbing Huang 0001. 4545-4565 [doi]
• GuardHFL: Privacy Guardian for Heterogeneous Federated LearningHanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang 0004, Xilin Zhang. 4566-4584 [doi]
• Efficient and Degree-Guided Graph Generation via Discrete Diffusion ModelingXiaohui Chen, Jiaxing He, Xu Han, Liping Liu 0001. 4585-4610 [doi]
• Evolving Semantic Prototype Improves Generative Zero-Shot LearningShiming Chen 0002, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang. 4611-4622 [doi]
• Explore and Exploit the Diverse Knowledge in Model Zoo for Domain GeneralizationYimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma. 4623-4640 [doi]
• Decentralized Stochastic Bilevel Optimization with Improved per-Iteration ComplexityXuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian. 4641-4671 [doi]
• Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional DataMinshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang. 4672-4712 [doi]
• Sample Complexity of Probability Divergences under Group SymmetryZiyu Chen, Markos A. Katsoulakis, Luc Rey-Bellet, Wei Zhu. 4713-4734 [doi]
• Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness AssumptionsHongrui Chen, Holden Lee, Jianfeng Lu 0001. 4735-4763 [doi]
• Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum OptimizersYineng Chen, Zuchao Li, Lefei Zhang, Bo Du, Hai Zhao. 4764-4803 [doi]
• HarsanyiNet: Computing Accurate Shapley Values in a Single Forward PropagationLu Chen, Siyu Lou, Keyan Zhang, Jin Huang, Quanshi Zhang. 4804-4825 [doi]
• Generalized Implicit Follow-The-Regularized-LeaderKeyi Chen 0001, Francesco Orabona. 4826-4838 [doi]
• Fisher Information Embedding for Node and Graph LearningDexiong Chen, Paolo Pellizzoni, Karsten M. Borgwardt. 4839-4855 [doi]
• Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual CuesJiaxuan Chen 0007, Yu Qi, Gang Pan 0001. 4856-4866 [doi]
• Stratified Adversarial Robustness with RejectionJiefeng Chen 0001, Jayaram Raghuram, Jihye Choi, Xi Wu 0001, Yingyu Liang, Somesh Jha. 4867-4894 [doi]
• Multi-task Hierarchical Adversarial Inverse Reinforcement LearningJiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal. 4895-4920 [doi]
• Model Transferability with Responsive Decision SubjectsYatong Chen, Zeyu Tang, Kun Zhang, Yang Liu. 4921-4952 [doi]
• Layered State Discovery for Incremental Autonomous ExplorationLiyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta. 4953-5001 [doi]
• Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex OptimizationSijia Chen, Wei-Wei Tu, Peng Zhao 0006, Lijun Zhang 0005. 5002-5035 [doi]
• Learning to Optimize Differentiable GamesXuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang. 5036-5051 [doi]
• Coordinated Dynamic Bidding in Repeated Second-Price Auctions with BudgetsYurong Chen 0002, Qian Wang, Zhijian Duan 0001, Haoran Sun, Zhaohua Chen 0001, Xiang Yan, Xiaotie Deng. 5052-5086 [doi]
• Semi-Offline Reinforcement Learning for Optimized Text GenerationChangyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan. 5087-5103 [doi]
• Lower Bounds for Learning in Revealing POMDPsFan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai 0017. 5104-5161 [doi]
• Implicit Neural Spatial Representations for Time-dependent PDEsHonglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen. 5162-5177 [doi]
• BEATs: Audio Pre-Training with Acoustic TokenizersSanyuan Chen, Yu Wu, Chengyi Wang 0002, Shujie Liu 0001, Daniel Tompkins, Zhuo Chen 0006, Wanxiang Che, Xiangzhan Yu, Furu Wei. 5178-5193 [doi]
• Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent ModelSiyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang. 5194-5218 [doi]
• Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic OptimizationLesi Chen, Jing Xu, Luo Luo. 5219-5233 [doi]
• Efficient Personalized Federated Learning via Sparse Model-AdaptationDaoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li. 5234-5256 [doi]
• A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph CoarseningYifan Chen 0004, Rentian Yao, Yun Yang, Jie Chen. 5257-5281 [doi]
• How to address monotonicity for model risk management?Dangxing Chen, Weicheng Ye. 5282-5295 [doi]
• Sketched Ridgeless Linear Regression: The Role of DownsamplingXin Chen, Yicheng Zeng, Siyue Yang, Qiang Sun. 5296-5326 [doi]
• Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement LearningDingyang Chen, Qi Zhang 0038. 5327-5350 [doi]
• Bidirectional Learning for Offline Model-based Biological Sequence DesignCan Chen, Yingxue Zhang 0001, Xue Liu, Mark Coates. 5351-5366 [doi]
• Learning to Jump: Thinning and Thickening Latent Counts for Generative ModelingTianQi Chen, Mingyuan Zhou. 5367-5382 [doi]
• Lifelong Language Pretraining with Distribution-Specialized ExpertsWuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui. 5383-5395 [doi]
• Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex OptimizationZiyi Chen 0002, Yi Zhou 0017, Yingbin Liang, Zhaosong Lu. 5396-5427 [doi]
• Weakly Supervised Regression with Interval TargetsXin Cheng, Yuzhou Cao, XiMing Li, Bo An 0001, Lei Feng 0006. 5428-5448 [doi]
• PLay: Parametrically Conditioned Layout Generation using Latent DiffusionChin-Yi Cheng, Forrest Huang, Gang Li, Yang Li. 5449-5471 [doi]
• Identification of the Adversary from a Single Adversarial ExampleMinhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen. 5472-5484 [doi]
• Parallel Online Clustering of Bandits via Hedonic GameXiaotong Cheng, Cheng Pan, Setareh Maghsudi. 5485-5503 [doi]
• 2SLAM: Multitask, Multilingual Speech and Language ModelsYong Cheng, Yu Zhang 0033, Melvin Johnson, Wolfgang Macherey, Ankur Bapna. 5504-5520 [doi]
• Understanding the Role of Feedback in Online Learning with Switching CostsDuo Cheng, Xingyu Zhou, Bo Ji. 5521-5543 [doi]
• Tighter Bounds on the Expressivity of Transformer EncodersDavid Chiang 0001, Peter Cholak, Anand Pillay. 5544-5562 [doi]
• Provably Learning Diverse Features in Multi-View Data with Midpoint MixupMuthu Chidambaram, Xiang Wang 0011, Chenwei Wu 0001, Rong Ge 0001. 5563-5599 [doi]
• Hiding Data Helps: On the Benefits of Masking for Sparse CodingMuthu Chidambaram, Chenwei Wu 0002, Yu Cheng, Rong Ge 0001. 5600-5615 [doi]
• PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood AggregationEli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu. 5616-5630 [doi]
• Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite RelaxationsHong Ming Chiu, Richard Y. Zhang. 5631-5660 [doi]
• Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural DataCheol Jun Cho, Edward F. Chang, Gopala Krishna Anumanchipalli. 5661-5676 [doi]
• On the Convergence of Federated Averaging with Cyclic Client ParticipationYae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu 0002, Satyen Kale, Tong Zhang. 5677-5721 [doi]
• GREAD: Graph Neural Reaction-Diffusion NetworksJeongwhan Choi 0002, Seoyoung Hong 0001, Noseong Park, Sung-Bae Cho. 5722-5747 [doi]
• Is Overfitting Necessary for Implicit Video Representation?Hee Min Choi, Hyoa Kang, Dokwan Oh. 5748-5770 [doi]
• Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards ModelYoung-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-hwan Oh. 5771-5786 [doi]
• Restoration based Generative ModelsJaemoo Choi, Yesom Park, Myungjoo Kang. 5787-5816 [doi]
• Concept-based Explanations for Out-of-Distribution DetectorsJihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen 0001, Somesh Jha, Atul Prakash 0001. 5817-5837 [doi]
• Active causal structure learning with adviceDavin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya 0001. 5838-5867 [doi]
• New metrics and search algorithms for weighted causal DAGsDavin Choo, Kirankumar Shiragur. 5868-5903 [doi]
• Computational Doob h-transforms for Online Filtering of Discretely Observed DiffusionsNicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery. 5904-5923 [doi]
• Multi-Epoch Matrix Factorization Mechanisms for Private Machine LearningChristopher A. Choquette-Choo, Hugh Brendan McMahan, J. Keith Rush, Abhradeep Guha Thakurta. 5924-5963 [doi]
• Taming graph kernels with random featuresKrzysztof Marcin Choromanski. 5964-5977 [doi]
• Efficient Graph Field Integrators Meet Point CloudsKrzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller. 5978-6004 [doi]
• ContraBAR: Contrastive Bayes-Adaptive Deep RLEra Choshen, Aviv Tamar. 6005-6027 [doi]
• Forget Unlearning: Towards True Data-Deletion in Machine LearningRishav Chourasia, Neil Shah. 6028-6073 [doi]
• Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural NetworksMohammed Nowaz Rabbani Chowdhury, Shuai Zhang 0015, Meng Wang 0003, Sijia Liu 0001, Pin-Yu Chen. 6074-6114 [doi]
• What do CNNs Learn in the First Layer and Why? A Linear Systems PerspectiveRhea Chowers, Yair Weiss. 6115-6139 [doi]
• Unifying Molecular and Textual Representations via Multi-task Language ModellingDimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica. 6140-6157 [doi]
• Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural NetworksXu Chu, Yujie Jin, Xin Wang 0019, Shanghang Zhang, Yasha Wang, Wenwu Zhu 0001, Hong Mei 0001. 6158-6184 [doi]
• Shape-Guided Dual-Memory Learning for 3D Anomaly DetectionYu Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu. 6185-6194 [doi]
• Multiply Robust Off-policy Evaluation and Learning under Truncation by DeathJianing Chu, Shu Yang, Wenbin Lu. 6195-6227 [doi]
• InfoOT: Information Maximizing Optimal TransportChing-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis. 6228-6242 [doi]
• A Toy Model of Universality: Reverse Engineering how Networks Learn Group OperationsBilal Chughtai, Lawrence Chan, Neel Nanda. 6243-6267 [doi]
• Distribution Free Prediction Sets for Node ClassificationJase Clarkson. 6268-6278 [doi]
• Sequential Strategic ScreeningLee Cohen 0001, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani. 6279-6295 [doi]
• Few-Sample Feature Selection via Feature Manifold LearningDavid Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon. 6296-6319 [doi]
• Spatial Implicit Neural Representations for Global-Scale Species MappingElijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha. 6320-6342 [doi]
• K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action PairsAndrea Coletta, Svitlana Vyetrenko, Tucker Balch. 6343-6363 [doi]
• Inferring Relational Potentials in Interacting SystemsArmand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps. 6364-6383 [doi]
• Task-specific experimental design for treatment effect estimationBethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye. 6384-6401 [doi]
• A Mathematical Model for Curriculum Learning for ParitiesElisabetta Cornacchia, Elchanan Mossel. 6402-6423 [doi]
• Learning to Maximize Mutual Information for Dynamic Feature SelectionIan Connick Covert, Wei Qiu, Mingyu Lu, Nayoon Kim, Nathan J. White, Su-In Lee. 6424-6447 [doi]
• Rethinking Weak Supervision in Helping Contrastive LearningJingyi Cui, Weiran Huang 0001, Yifei Wang, Yisen Wang 0001. 6448-6467 [doi]
• Bayes-optimal Learning of Deep Random Networks of Extensive-widthHugo Cui, Florent Krzakala, Lenka Zdeborová. 6468-6521 [doi]
• A General Representation Learning Framework with Generalization Performance GuaranteesJunbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang. 6522-6544 [doi]
• IRNeXt: Rethinking Convolutional Network Design for Image RestorationYuning Cui 0001, Wenqi Ren, Sining Yang, Xiaochun Cao, Alois Knoll. 6545-6564 [doi]
• Scaling Up Dataset Distillation to ImageNet-1K with Constant MemoryJustin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh. 6565-6590 [doi]
• Learning Dynamic Query Combinations for Transformer-based Object Detection and SegmentationYiming Cui, Linjie Yang, Haichao Yu. 6591-6602 [doi]
• Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and SolutionsAlicia Curth, Alihan Hüyük, Mihaela van der Schaar. 6603-6622 [doi]
• In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect EstimationAlicia Curth, Mihaela van der Schaar. 6623-6642 [doi]
• Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex ConversionAshok Cutkosky, Harsh Mehta, Francesco Orabona. 6643-6670 [doi]
• Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse MapsMarco Cuturi, Michal Klein, Pierre Ablin. 6671-6682 [doi]
• From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated LearningEdwige Cyffers, Aurélien Bellet, Debabrota Basu. 6683-6711 [doi]
• Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated LearningYanbo Dai, Songze Li. 6712-6725 [doi]
• Refined Regret for Adversarial MDPs with Linear Function ApproximationYan Dai 0002, Haipeng Luo, Chen-Yu Wei, Julian Zimmert. 6726-6759 [doi]
• MultiRobustBench: Benchmarking Robustness Against Multiple AttacksSihui Dai, Saeed Mahloujifar, Chong Xiang 0001, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal. 6760-6785 [doi]
• Moderately Distributional Exploration for Domain GeneralizationRui Dai, Yonggang Zhang, Zhen Fang, Bo Han 0003, Xinmei Tian 0001. 6786-6817 [doi]
• Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement LearningBrett Daley, Martha White, Christopher Amato, Marlos C. Machado. 6818-6835 [doi]
• Efficient displacement convex optimization with particle gradient descentHadi Daneshmand, Jason D. Lee, Chi Jin 0001. 6836-6854 [doi]
• Multiple Thinking Achieving Meta-Ability Decoupling for Object NavigationRonghao Dang, Lu Chen, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen. 6855-6872 [doi]
• Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced DataHien Dang 0003, Tho Tran Huu, Stanley J. Osher, Hung Tran-The, Nhat Ho, Tan Minh Nguyen. 6873-6947 [doi]
• Reinforcement Learning Can Be More Efficient with Multiple RewardsChristoph Dann, Yishay Mansour, Mehryar Mohri. 6948-6967 [doi]
• Best of Both Worlds Policy OptimizationChristoph Dann, Chen-Yu Wei, Julian Zimmert. 6968-7008 [doi]
• Image generation with shortest path diffusionAyan Das 0005, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-shan Shiu, Alberto Bernacchia. 7009-7024 [doi]
• Efficient List-Decodable Regression using BatchesAbhimanyu Das, Ayush Jain 0001, Weihao Kong, Rajat Sen. 7025-7065 [doi]
• Beyond Uniform Lipschitz Condition in Differentially Private OptimizationRudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi. 7066-7101 [doi]
• Understanding Self-Distillation in the Presence of Label NoiseRudrajit Das, Sujay Sanghavi. 7102-7140 [doi]
• Interval Bound Interpolation for Few-shot Learning with Few TasksShounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das. 7141-7166 [doi]
• Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial InformationSamuel Daulton, Maximilian Balandat, Eytan Bakshy. 7167-7204 [doi]
• Fast Combinatorial Algorithms for Min Max Correlation ClusteringSami Davies, Benjamin Moseley, Heather Newman. 7205-7230 [doi]
• Predictive Flows for Faster Ford-FulkersonSami Davies, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang. 7231-7248 [doi]
• The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of DataThomas Davies, Zhengchao Wan, Rubén J. Sánchez-García. 7249-7263 [doi]
• Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) SamplingArka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne. 7264-7302 [doi]
• On the Robustness of Randomized Ensembles to Adversarial PerturbationsHassan Dbouk, Naresh R. Shanbhag. 7303-7328 [doi]
• Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your computeMichiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen. 7329-7342 [doi]
• Continuous Spatiotemporal TransformerAntonio Henrique de Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David van Dijk. 7343-7365 [doi]
• The Value of Out-of-Distribution DataAshwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein. 7366-7389 [doi]
• High Fidelity Image Counterfactuals with Probabilistic Causal ModelsFabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker. 7390-7425 [doi]
• Learning Noisy OR Bayesian Networks with Max-Product Belief PropagationAntoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla. 7426-7448 [doi]
• Learning-Rate-Free Learning by D-AdaptationAaron Defazio, Konstantin Mishchenko. 7449-7479 [doi]
• Scaling Vision Transformers to 22 Billion ParametersMostafa Dehghani 0001, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang 0038, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov 0003, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby. 7480-7512 [doi]
• Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram IterationBlaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen. 7513-7532 [doi]
• Blossom: an Anytime Algorithm for Computing Optimal Decision TreesEmir Demirovic, Emmanuel Hebrard, Louis Jean. 7533-7562 [doi]
• Optimizing NOTEARS Objectives via Topological SwapsChang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar. 7563-7595 [doi]
• Uncertainty Estimation by Fisher Information-based Evidential Deep LearningDanruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng. 7596-7616 [doi]
• Multi-channel Autobidding with Budget and ROI ConstraintsYuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni. 7617-7644 [doi]
• Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural NetworksShikuang Deng, Hao Lin, Yuhang Li, Shi Gu. 7645-7657 [doi]
• Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy EstimationWeijian Deng, Yumin Suh, Stephen Gould, Liang Zheng 0001. 7658-7674 [doi]
• Great Models Think Alike: Improving Model Reliability via Inter-Model Latent AgreementAilin Deng, Miao Xiong, Bryan Hooi. 7675-7693 [doi]
• Hyperbolic Image-text RepresentationsKaran Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson 0001, Shanmukha Ramakrishna Vedantam. 7694-7731 [doi]
• Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) HashingAditya Desai, Keren Zhou 0001, Anshumali Shrivastava. 7732-7749 [doi]
• The case for 4-bit precision: k-bit Inference Scaling LawsTim Dettmers, Luke Zettlemoyer. 7750-7774 [doi]
• Fairness in Matching under UncertaintySiddartha Devic, David Kempe 0001, Vatsal Sharan, Aleksandra Korolova. 7775-7794 [doi]
• Efficient Parametric Approximations of Neural Network Function Space DistanceNikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse. 7795-7812 [doi]
• A Large-Scale Study of Probabilistic Calibration in Neural Network RegressionVictor Dheur, Souhaib Ben Taieb. 7813-7836 [doi]
• Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest PathQiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu. 7837-7864 [doi]
• On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and TopologyFrancesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein. 7865-7885 [doi]
• Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCAIlias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas. 7886-7921 [doi]
• Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian MarginalsIlias Diakonikolas, Daniel Kane, Lisheng Ren. 7922-7938 [doi]
• Improving Graph Generation by Restricting Graph BandwidthNathaniel Lee Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia. 7939-7959 [doi]
• Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein SpaceMichael Ziyang Diao, Krishna Balasubramanian, Sinho Chewi, Adil Salim. 7960-7991 [doi]
• Subset-Based Instance Optimality in Private EstimationTravis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh. 7992-8014 [doi]
• Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task modelsNikolaos Dimitriadis, Pascal Frossard, François Fleuret. 8015-8052 [doi]
• Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based ModelsWenhao Ding, Tong Che, Ding Zhao, Marco Pavone 0001. 8053-8066 [doi]
• DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus AlgorithmLisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin. 8067-8089 [doi]
• Open-Vocabulary Universal Image Segmentation with MaskCLIPZheng-ding, Jieke Wang, Zhuowen Tu. 8090-8102 [doi]
• Entity Divider with Language Grounding in Multi-Agent Reinforcement LearningZiluo Ding, Wanpeng Zhang 0002, Junpeng Yue, Xiangjun Wang, Tiejun Huang 0001, Zongqing Lu. 8103-8119 [doi]
• PixelAsParam: A Gradient View on Diffusion Sampling with GuidanceAnhDung Dinh, Daochang Liu, Chang Xu 0002. 8120-8137 [doi]
• Second-Order Optimization with Lazy HessiansNikita Doikov, El Mahdi Chayti, Martin Jaggi. 8138-8161 [doi]
• Polynomial Preconditioning for Gradient MethodsNikita Doikov, Anton Rodomanov. 8162-8187 [doi]
• On Data Manifolds Entailed by Structural Causal ModelsRicardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf. 8188-8201 [doi]
• Towards Understanding and Reducing Graph Structural Noise for GNNsMingze Dong, Yuval Kluger. 8202-8226 [doi]
• SpeedDETR: Speed-aware Transformers for End-to-end Object DetectionPeiyan Dong, Zhenglun Kong, Xin Meng, Peng Zhang, Hao Tang, Yanzhi Wang, Chih-Hsien Chou. 8227-8243 [doi]
• Understand and Modularize Generator Optimization in ELECTRA-style PretrainingChengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu. 8244-8259 [doi]
• Diversity-enhancing Generative Network for Few-shot Hypothesis AdaptationRuijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu 0001, Masashi Sugiyama, Bo Han 0003. 8260-8275 [doi]
• PASTA: Pessimistic Assortment OptimizationJuncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X. Fang, Vahid Tarokh. 8276-8295 [doi]
• Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept ShiftYijun Dong, Yuege Xie, Rachel Ward. 8296-8316 [doi]
• Does Sparsity Help in Learning Misspecified Linear Bandits?Jialin Dong, Lin Yang 0011. 8317-8333 [doi]
• Symmetry-Aware Robot Design with Structured SubgroupsHeng Dong, Junyu Zhang, Tonghan Wang 0001, Chongjie Zhang. 8334-8355 [doi]
• DoCoFL: Downlink Compression for Cross-Device Federated LearningRon Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy. 8356-8388 [doi]
• Meta-Learning the Inductive Bias of Simple Neural CircuitsWill Dorrell, Maria Yuffa, Peter E. Latham. 8389-8402 [doi]
• Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov ChainsVishwaraj Doshi, Jie Hu, Do Young Eun. 8403-8423 [doi]
• Linear Time GPs for Inferring Latent Trajectories from Neural Spike TrainsMatthew Dowling, Yuan Zhao 0004, Il Memming Park. 8424-8448 [doi]
• On the Convergence Rate of Gaussianization with Random RotationsFelix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnörr, Ullrich Köthe. 8449-8468 [doi]
• PaLM-E: An Embodied Multimodal Language ModelDanny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence. 8469-8488 [doi]
• Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMCYilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl. 8489-8510 [doi]
• Multi-task Representation Learning for Pure Exploration in Linear BanditsYihan Du, Longbo Huang, Wen Sun. 8511-8564 [doi]
• Nonparametric Generative Modeling with Conditional Sliced-Wasserstein FlowsChao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin. 8565-8584 [doi]
• Subsample Ridge Ensembles: Equivalences and Generalized Cross-ValidationJin-Hong Du, Pratik Patil, Arun K. Kuchibhotla. 8585-8631 [doi]
• On Uni-Modal Feature Learning in Supervised Multi-Modal LearningChenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao. 8632-8656 [doi]
• Guiding Pretraining in Reinforcement Learning with Large Language ModelsYuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta 0004, Jacob Andreas. 8657-8677 [doi]
• A Flexible Diffusion ModelWeitao Du, He Zhang, Tao Yang, Yuanqi Du. 8678-8696 [doi]
• Fast Excess Risk Rates via Offset Rademacher ComplexityChenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang. 8697-8716 [doi]
• Are Diffusion Models Vulnerable to Membership Inference Attacks?Jinhao Duan, Fei Kong, Shiqi Wang 0002, Xiaoshuang Shi, Kaidi Xu. 8717-8730 [doi]
• Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening ProcessZhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou. 8731-8746 [doi]
• Are Equivariant Equilibrium Approximators Beneficial?Zhijian Duan 0001, Yunxuan Ma, Xiaotie Deng. 8747-8778 [doi]
• Evaluating Self-Supervised Learning via Risk DecompositionYann Dubois, Tatsunori Hashimoto, Percy Liang. 8779-8820 [doi]
• Fully Dynamic Submodular Maximization over MatroidsPaul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam. 8821-8835 [doi]
• Optimal No-Regret Learning for One-Sided Lipschitz FunctionsPaul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang. 8836-8850 [doi]
• Integrating Prior Knowledge in Contrastive Learning with KernelBenoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori. 8851-8878 [doi]
• Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing FlowsOwen M. Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic. 8879-8901 [doi]
• Adaptive Whitening in Neural Populations with Gain-modulating InterneuronsLyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli. 8902-8921 [doi]
• Generalization Bounds using Data-Dependent Fractal DimensionsBenjamin Dupuis, George Deligiannidis, Umut Simsekli. 8922-8968 [doi]
• Multi-Objective Population Based TrainingArkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman. 8969-8989 [doi]
• Neural Diffusion ProcessesVincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson. 8990-9012 [doi]
• FAENet: Frame Averaging Equivariant GNN for Materials ModelingAlexandre Duval, Victor Schmidt, Alex Hernández-García, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick. 9013-9033 [doi]
• Blackout Diffusion: Generative Diffusion Models in Discrete-State SpacesJavier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen-Ting Lin. 9034-9059 [doi]
• The Computational Complexity of Concise Hypersphere ClassificationEduard Eiben, Robert Ganian, Iyad A. Kanj, Sebastian Ordyniak, Stefan Szeider. 9060-9070 [doi]
• E(n) Equivariant Message Passing Simplicial NetworksFloor Eijkelboom, Rob Hesselink, Erik J. Bekkers. 9071-9081 [doi]
• Performative Recommendation: Diversifying Content via Strategic IncentivesItay Eilat, Nir Rosenfeld. 9082-9103 [doi]
• Hyperparameters in Reinforcement Learning and How To Tune ThemTheresa Eimer, Marius Lindauer, Roberta Raileanu. 9104-9149 [doi]
• Fairness in Streaming Submodular Maximization over a Matroid ConstraintMarwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski. 9150-9171 [doi]
• Difference of submodular minimization via DC programmingMarwa El Halabi, George Orfanides, Tim Hoheisel. 9172-9201 [doi]
• Graph Positional Encoding via Random Feature PropagationMoshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron. 9202-9223 [doi]
• Improving Graph Neural Networks with Learnable Propagation OperatorsMoshe Eliasof, Lars Ruthotto, Eran Treister. 9224-9245 [doi]
• Phase Transitions in the Detection of Correlated DatabasesDor Elimelech, Wasim Huleihel. 9246-9266 [doi]
• A new near-linear time algorithm for k-nearest neighbor search using a compressed cover treeYury Elkin, Vitaliy Kurlin. 9267-9311 [doi]
• Motion Question Answering via Modular Motion ProgramsMark Endo, Joy Hsu, Jiaman Li, Jiajun Wu 0001. 9312-9328 [doi]
• Learning Perturbations to Explain Time Series PredictionsJoseph Enguehard. 9329-9342 [doi]
• Regret Minimization and Convergence to Equilibria in General-sum Markov GamesLiad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour. 9343-9373 [doi]
• Delayed Bandits: When Do Intermediate Observations Help?Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin. 9374-9395 [doi]
• Scaling Spherical CNNsCarlos Esteves, Jean-Jacques E. Slotine, Ameesh Makadia. 9396-9411 [doi]
• Stochastic Gradient Descent under Markovian Sampling SchemesMathieu Even. 9412-9439 [doi]
• Continual Learning in Linear Classification on Separable DataItay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry. 9440-9484 [doi]
• A Connection between One-Step RL and Critic Regularization in Reinforcement LearningBenjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov. 9485-9507 [doi]
• Neural Status RegistersLukas Faber, Roger Wattenhofer. 9508-9522 [doi]
• Learning Rate Schedules in the Presence of Distribution ShiftMatthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah. 9523-9546 [doi]
• Predicting Rare Events by Shrinking Towards Proportional OddsGregory Faletto, Jacob Bien. 9547-9602 [doi]
• Free-Form Variational Inference for Gaussian Process State-Space ModelsXuhui Fan, Edwin V. Bonilla, Terence J. O'Kane, Scott A. Sisson. 9603-9622 [doi]
• Optimizing DDPM Sampling with Shortcut Fine-TuningYing Fan, Kangwook Lee 0001. 9623-9639 [doi]
• LSDS++ : Dual Sampling for Accelerated k-means++Chenglin Fan, Ping Li 0001, Xiaoyun Li. 9640-9649 [doi]
• Smart Initial Basis Selection for Linear ProgramsZhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou. 9650-9664 [doi]
• General Covariance Data Augmentation for Neural PDE SolversVladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets. 9665-9688 [doi]
• The Fast Johnson-Lindenstrauss Transform Is Even FasterOra Nova Fandina, Mikael Møller Høgsgaard, Kasper Green Larsen. 9689-9715 [doi]
• Regression with Label Permutation in Generalized Linear ModelGuanhua Fang, Ping Li 0001. 9716-9760 [doi]
• Robust Collaborative Learning with Linear Gradient OverheadSadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê Nguyên Hoang, Rafael Pinot, John Stephan. 9761-9813 [doi]
• Neural FIM for learning Fisher information metrics from point cloud dataOluwadamilola Fasina, Guillaume Huguet, Alexander Tong 0001, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy. 9814-9826 [doi]
• Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate PoliciesIlyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He. 9827-9869 [doi]
• Parallel Neurosymbolic Integration with ConcordiaJonathan Feldstein, Modestas Jurcius, Efthymia Tsamoura. 9870-9885 [doi]
• Why Target Networks Stabilise Temporal Difference MethodsMattie Fellows, Matthew J. A. Smith, Shimon Whiteson. 9886-9909 [doi]
• Weighted Sampling without Replacement for Deep Top-k ClassificationDieqiao Feng, Yuanqi Du, Carla P. Gomes, Bart Selman. 9910-9920 [doi]
• Improved Online Learning Algorithms for CTR Prediction in Ad AuctionsZhe Feng, Christopher Liaw, Zixin Zhou. 9921-9937 [doi]
• Fractional Denoising for 3D Molecular Pre-trainingShikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma. 9938-9961 [doi]
• Improved Algorithms for White-Box Adversarial StreamsYing Feng, David P. Woodruff. 9962-9975 [doi]
• Non-stationary Reinforcement Learning under General Function ApproximationSongtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang 0002, Yingbin Liang. 9976-10007 [doi]
• Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation AssumptionVasilii Feofanov, Malik Tiomoko, Aladin Virmaux. 10008-10033 [doi]
• SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization ProblemsAaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian. 10034-10052 [doi]
• Scaling Laws for Multilingual Neural Machine TranslationPatrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat. 10053-10071 [doi]
• Constant Matters: Fine-grained Error Bound on Differentially Private Continual ObservationHendrik Fichtenberger, Monika Henzinger, Jalaj Upadhyay. 10072-10092 [doi]
• Adapting to game trees in zero-sum imperfect information gamesCôme Fiegel, Pierre Ménard, Tadashi Kozuno, Rémi Munos, Vianney Perchet, Michal Valko. 10093-10135 [doi]
• User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical SystemsMarc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Núñez. 10136-10152 [doi]
• ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical ImagingAlessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna M. Wardlaw, Grant Mair, Emanuele Trucco, Amos J. Storkey. 10153-10169 [doi]
• Explainable Data-Driven Optimization: From Context to Decision and Back AgainAlexandre Forel, Axel Parmentier, Thibaut Vidal. 10170-10187 [doi]
• Hardness of Independent Learning and Sparse Equilibrium Computation in Markov GamesDylan J. Foster, Noah Golowich, Sham M. Kakade. 10188-10221 [doi]
• Disentangled Generative Models for Robust Prediction of System DynamicsStathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D. Cantwell, Anil Anthony Bharath. 10222-10248 [doi]
• Can Forward Gradient Match Backpropagation?Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon. 10249-10264 [doi]
• Last Switch Dependent Bandits with Monotone Payoff FunctionsAyoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi. 10265-10284 [doi]
• A Theoretical Analysis of the Learning Dynamics under Class ImbalanceEmanuele Francazi, Marco Baity-Jesi, Aurélien Lucchi. 10285-10322 [doi]
• SparseGPT: Massive Language Models Can be Accurately Pruned in One-ShotElias Frantar, Dan Alistarh. 10323-10337 [doi]
• Learning Temporally AbstractWorld Models without Online ExperimentationBenjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti, Jeff Schneider 0001, Howie Choset. 10338-10356 [doi]
• A Coupled Flow Approach to Imitation LearningGideon Joseph Freund, Elad Sarafian, Sarit Kraus. 10357-10372 [doi]
• Simple Hardware-Efficient Long Convolutions for Sequence ModelingDaniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré. 10373-10391 [doi]
• MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera PosesYang Fu, Ishan Misra, Xiaolong Wang 0004. 10392-10404 [doi]
• Go Beyond Imagination: Maximizing Episodic Reachability with World ModelsYao Fu, Run Peng, Honglak Lee. 10405-10420 [doi]
• Specializing Smaller Language Models towards Multi-Step ReasoningYao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot. 10421-10430 [doi]
• Accelerated Stochastic Optimization Methods under Quasar-convexityQiang Fu, Dongchu Xu, Ashia Camage Wilson. 10431-10460 [doi]
• Meta-learning Parameterized SkillsHaotian Fu, Shangqun Yu, Saket Tiwari, Michael L. Littman, George Konidaris 0001. 10461-10481 [doi]
• NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial PerturbationsYonggan Fu, Ye Yuan, Souvik Kundu 0009, Shang Wu, Shunyao Zhang, Yingyan Celine Lin. 10482-10493 [doi]
• Hierarchies of Reward MachinesDaniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo. 10494-10541 [doi]
• Why Random Pruning Is All We Need to Start SparseAdvait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz. 10542-10570 [doi]
• Cell-Free Latent Go-ExploreQuentin Gallouédec, Emmanuel Dellandréa. 10571-10586 [doi]
• Graph Reinforcement Learning for Network Control via Bi-Level OptimizationDaniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone 0001, Filipe Rodrigues 0001, Francisco C. Pereira. 10587-10610 [doi]
• Why Is Public Pretraining Necessary for Private Model Training?Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke 0002, Om Thakkar 0001, Abhradeep Guha Thakurta, Lun Wang. 10611-10627 [doi]
• Do Perceptually Aligned Gradients Imply Robustness?Roy Ganz, Bahjat Kawar, Michael Elad. 10628-10648 [doi]
• Solving Linear Programs with Fast Online Learning AlgorithmsWenzhi Gao, Dongdong Ge, Chunlin Sun, Yinyu Ye 0001. 10649-10675 [doi]
• Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural NetworksYihang Gao, Yiqi Gu, Michael Ng 0001. 10676-10707 [doi]
• Generalizing Neural Wave FunctionsNicholas Gao, Stephan Günnemann. 10708-10726 [doi]
• On the Impact of Algorithmic Recourse on Social SegregationRuijiang Gao, Himabindu Lakkaraju. 10727-10743 [doi]
• DDGR: Continual Learning with Deep Diffusion-based Generative ReplayRui Gao, Weiwei Liu. 10744-10763 [doi]
• PAL: Program-aided Language ModelsLuyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon 0002, Pengfei Liu 0003, Yiming Yang, Jamie Callan, Graham Neubig. 10764-10799 [doi]
• Out-of-Domain Robustness via Targeted AugmentationsIrena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang. 10800-10834 [doi]
• Scaling Laws for Reward Model OveroptimizationLeo Gao, John Schulman, Jacob Hilton. 10835-10866 [doi]
• The Unreasonable Effectiveness of Few-shot Learning for Machine TranslationXavier Garcia, Yamini Bansal, Colin Cherry, George F. Foster, Maxim Krikun, Melvin Johnson, Orhan Firat. 10867-10878 [doi]
• RLSbench: Domain Adaptation Under Relaxed Label ShiftSaurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton. 10879-10928 [doi]
• RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their RankQuentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun. 10929-10974 [doi]
• Self-supervised learning of Split Invariant Equivariant representationsQuentin Garrido, Laurent Najman, Yann LeCun. 10975-10996 [doi]
• Federated Heavy Hitter Recovery under Linear SketchingAdrià Gascón, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh. 10997-11012 [doi]
• On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network ParametrizationMudit Gaur, Vaneet Aggarwal, Mridul Agarwal. 11013-11049 [doi]
• A Reinforcement Learning Framework for Dynamic Mediation AnalysisLin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song 0006. 11050-11097 [doi]
• Compositional Score Modeling for Simulation-Based InferenceTomas Geffner, George Papamakarios, Andriy Mnih. 11098-11116 [doi]
• Cramming: Training a Language Model on a single GPU in one dayJonas Geiping, Tom Goldstein. 11117-11143 [doi]
• Transformers Meet Directed GraphsSimon Geisler, Yujia Li, Daniel J. Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru. 11144-11172 [doi]
• Memory-Based Meta-Learning on Non-Stationary DistributionsTim Genewein, Grégoire Delétang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness. 11173-11195 [doi]
• Towards Reliable Neural SpecificationsChuqin Geng, Nham Le, Xiaojie Xu, Zhaoyue Wang, Arie Gurfinkel, Xujie Si. 11196-11212 [doi]
• Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement LearningMatthias Gerstgrasser, David C. Parkes. 11213-11236 [doi]
• Approximately Optimal Core Shapes for Tensor DecompositionsMehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni. 11237-11254 [doi]
• GAT: Guided Adversarial Training with Pareto-optimal Auxiliary TasksSalah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon. 11255-11282 [doi]
• On User-Level Private Convex OptimizationBadih Ghazi, Pritish Kamath, Ravi Kumar 0001, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang. 11283-11299 [doi]
• Contextual Reliability: When Different Features Matter in Different ContextsGaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca D. Dragan, Aditi Raghunathan. 11300-11320 [doi]
• Reinforcement Learning from Passive Data via Latent IntentionsDibya Ghosh, Chethan Anand Bhateja, Sergey Levine. 11321-11339 [doi]
• Harmonic Neural NetworksAtiyo Ghosh, Antonio Andrea Gentile, Mario Dagrada, Chul Lee, Seong-Hyok Sean Kim, Hyukgeun Cha, Yunjun Choi, DongHo Kim, Jeong-Il Kye, Vincent Emanuel Elfving. 11340-11359 [doi]
• Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, RepeatShantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich. 11360-11397 [doi]
• Looped Transformers as Programmable ComputersAngeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee 0001, Jason D. Lee, Dimitris Papailiopoulos. 11398-11442 [doi]
• Generalized Disparate Impact for Configurable Fairness Solutions in MLLuca Giuliani, Eleonora Misino, Michele Lombardi 0001. 11443-11458 [doi]
• Multicalibration as Boosting for RegressionIra Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth 0001, Jessica Sorrell. 11459-11492 [doi]
• Adversarial robustness of amortized Bayesian inferenceManuel Glöckler, Michael Deistler, Jakob H. Macke. 11493-11524 [doi]
• Efficient RL via Disentangled Environment and Agent RepresentationsKevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak. 11525-11545 [doi]
• Aligning Language Models with Preferences through f-divergence MinimizationDongyoung Go, Tomasz Korbak, Germán Kruszewski, Jos Rozen, Nahyeon Ryu, Marc Dymetman. 11546-11583 [doi]
• Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational IssuesMorgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stéphan Clémençon. 11584-11597 [doi]
• Learning Distributions over Quantum Measurement OutcomesWeiyuan Gong, Scott Aaronson. 11598-11613 [doi]
• Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative ComonotonicityEduard Gorbunov, Adrien B. Taylor, Samuel Horváth, Gauthier Gidel. 11614-11641 [doi]
• Adaptive Annealed Importance Sampling with Constant Rate ProgressShirin Goshtasbpour, Victor Cohen, Fernando Pérez-Cruz. 11642-11658 [doi]
• Formalizing Preferences Over Runtime DistributionsDevon R. Graham, Kevin Leyton-Brown, Tim Roughgarden. 11659-11682 [doi]
• Topological Point Cloud ClusteringVincent Peter Grande, Michael T. Schaub. 11683-11697 [doi]
• On Sampling with Approximate Transport MapsLouis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabrié. 11698-11733 [doi]
• Hidden Symmetries of ReLU NetworksJ. Elisenda Grigsby, Kathryn Lindsey, David Rolnick. 11734-11760 [doi]
• EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional CompressionKaja Gruntkowska, Alexander Tyurin, Peter Richtárik. 11761-11807 [doi]
• NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware DiffusionJiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi. 11808-11826 [doi]
• DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug DesignJiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng 0001, Jianzhu Ma, Qiang Liu 0001, Liang Wang, Quanquan Gu. 11827-11846 [doi]
• On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein DistancesAritra Guha, Nhat Ho, XuanLong Nguyen. 11847-11870 [doi]
• Conformalization of Sparse Generalized Linear ModelsEtash Kumar Guha, Eugène Ndiaye, Xiaoming Huo. 11871-11887 [doi]
• Privacy-Aware Compression for Federated Learning Through Numerical Mechanism DesignChuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat. 11888-11904 [doi]
• Out-of-Distribution Generalization of Federated Learning via Implicit Invariant RelationshipsYaming Guo, Kai Guo, Xiaofeng Cao 0002, Tieru Wu, Yi Chang. 11905-11933 [doi]
• FeDXL: Provable Federated Learning for Deep X-Risk OptimizationZhishuai Guo, Rong Jin 0001, Jiebo Luo, Tianbao Yang. 11934-11966 [doi]
• Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDPJiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang. 11967-11997 [doi]
• Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From FanoChuan Guo, Alexandre Sablayrolles, Maziar Sanjabi. 11998-12011 [doi]
• Linkless Link Prediction via Relational DistillationZhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao 0003. 12012-12033 [doi]
• FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias ReductionYongxin Guo, Xiaoying Tang 0002, Tao Lin. 12034-12054 [doi]
• Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property PredictionMinghao Guo, Veronika Thost, Samuel W. Song, Adithya Balachandran, Payel Das, Jie Chen 0007, Wojciech Matusik. 12055-12076 [doi]
• Graph Neural Networks with Learnable and Optimal Polynomial BasesYuhe Guo, Zhewei Wei. 12077-12097 [doi]
• LongCoder: A Long-Range Pre-trained Language Model for Code CompletionDaya Guo, Canwen Xu, Nan Duan, Jian Yin 0001, Julian J. McAuley. 12098-12107 [doi]
• Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning AlgorithmsXingzhuo Guo, Yuchen Zhang 0004, Jianmin Wang 0001, Mingsheng Long. 12108-12121 [doi]
• Identifying Useful Learnwares for Heterogeneous Label SpacesLan-Zhe Guo, Zhi Zhou 0007, Yu-Feng Li, Zhi-Hua Zhou. 12122-12131 [doi]
• High-dimensional Location Estimation via Norm Concentration for Subgamma VectorsShivam Gupta 0002, Jasper C. H. Lee, Eric Price 0001. 12132-12164 [doi]
• GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature SetsShubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur. 12165-12181 [doi]
• Online Platt Scaling with CalibeatingChirag Gupta, Aaditya Ramdas. 12182-12204 [doi]
• Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and RemovalNareshKumar Gurulingan, Bahram Zonooz, Elahe Arani. 12205-12223 [doi]
• Conditionally Strongly Log-Concave Generative ModelsFlorentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat. 12224-12251 [doi]
• DRew: Dynamically Rewired Message Passing with DelayBenjamin Gutteridge, Xiaowen Dong 0001, Michael M. Bronstein, Francesco Di Giovanni. 12252-12267 [doi]
• Kernel Logistic Regression Approximation of an Understandable ReLU Neural NetworkMarie Guyomard, Susana Barbosa, Lionel Fillatre. 12268-12291 [doi]
• Conformal Prediction Sets for Graph Neural NetworksSoroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski. 12292-12318 [doi]
• Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learningSeungwoong Ha, Hawoong Jeong. 12319-12338 [doi]
• Convex Geometry of ReLU-layers, Injectivity on the Ball and Local ReconstructionDaniel Haider, Martin Ehler, Péter Balázs. 12339-12350 [doi]
• Robust Counterfactual Explanations for Neural Networks With Probabilistic GuaranteesFaisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta. 12351-12367 [doi]
• Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual RecognitionBoran Han. 12368-12388 [doi]
• On the Impact of Knowledge Distillation for Model InterpretabilityHyeongrok Han, Siwon Kim, Hyun Soo Choi, Sungroh Yoon. 12389-12410 [doi]
• Alternately Optimized Graph Neural NetworksHaoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang. 12411-12429 [doi]
• System Identification of Neural Systems: If We Got It Right, Would We Know?Yena Han, Tomaso A. Poggio, Brian Cheung. 12430-12444 [doi]
• Total Variation Graph Neural NetworksJonas Berg Hansen, Filippo Maria Bianchi. 12445-12468 [doi]
• Learning Physical Models that Can Respect Conservation LawsDerek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney. 12469-12510 [doi]
• On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch BaselineNicklas Hansen 0001, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su 0001, Huazhe Xu, Xiaolong Wang. 12511-12526 [doi]
• Leveraging Demonstrations to Improve Online Learning: Quality MattersBotao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen. 12527-12545 [doi]
• Coupled Variational AutoencoderXiaoran Hao, Patrick Shafto. 12546-12555 [doi]
• GNOT: A General Neural Operator Transformer for Operator LearningZhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu. 12556-12569 [doi]
• Algorithmic Collective Action in Machine LearningMoritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic. 12570-12586 [doi]
• Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant CoefficientsMarc Härkönen, Markus Lange-Hegermann, Bogdan Raita. 12587-12615 [doi]
• Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series ForecastingHilaf Hasson, Danielle C. Maddix, Bernie Wang 0001, Gaurav Gupta, Youngsuk Park. 12616-12632 [doi]
• Global Context Vision TransformersAli Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov 0001. 12633-12646 [doi]
• Counterfactual Analysis in Dynamic Latent State ModelsMartin B. Haugh, Raghav Singal. 12647-12677 [doi]
• Sampling-based Nyström Approximation and Kernel QuadratureSatoshi Hayakawa, Harald Oberhauser, Terry J. Lyons. 12678-12699 [doi]
• Width and Depth Limits Commute in Residual NetworksSoufiane Hayou, Greg Yang. 12700-12723 [doi]
• A Generalization of ViT/MLP-Mixer to GraphsXiaoxin He, Bryan Hooi, Thomas Laurent 0001, Adam Perold, Yann LeCun, Xavier Bresson. 12724-12745 [doi]
• Domain Adaptation for Time Series Under Feature and Label ShiftsHuan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik. 12746-12774 [doi]
• Contrastive Learning Meets Homophily: Two Birds with One StoneDongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng 0002, Di Jin 0001, Yuxiao Huang, Zhen Wang, Weixiong Zhang. 12775-12789 [doi]
• Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision ProcessesJiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu. 12790-12822 [doi]
• CRISP: Curriculum based Sequential neural decoders for Polar code familyS. Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath. 12823-12845 [doi]
• Sketch-Flip-Merge: Mergeable Sketches for Private Distinct CountingJonathan Hehir, Daniel Ting, Graham Cormode. 12846-12865 [doi]
• Functional Neural Networks: Shift invariant models for functional data with applications to EEG classificationFlorian Heinrichs, Mavin Heim, Corinna Weber. 12866-12881 [doi]
• Distance Weighted Supervised Learning for Offline Interaction DataJoey Hejna, Jensen Gao, Dorsa Sadigh. 12882-12906 [doi]
• Group Equivariant Fourier Neural Operators for Partial Differential EquationsJacob Helwig, Xuan Zhang, Cong Fu 0003, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji. 12907-12930 [doi]
• Training-Free Neural Active Learning with Initialization-Robustness GuaranteesApivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low. 12931-12971 [doi]
• A Study of Global and Episodic Bonuses for Exploration in Contextual MDPsMikael Henaff, Minqi Jiang, Roberta Raileanu. 12972-12999 [doi]
• Robust Camera Pose Refinement for Multi-Resolution Hash EncodingHwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim. 13000-13016 [doi]
• Generalized Teacher Forcing for Learning Chaotic DynamicsFlorian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz. 13017-13049 [doi]
• Causal Modeling of Policy Interventions From Treatment-Outcome SequencesCaglar Hizli, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, Pekka Marttinen. 13050-13084 [doi]
• Monotonicity and Double Descent in Uncertainty Estimation with Gaussian ProcessesLiam Hodgkinson, Christopher van der Heide, Fred Roosta, Michael W. Mahoney. 13085-13117 [doi]
• AdaBoost is not an Optimal Weak to Strong LearnerMikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert. 13118-13140 [doi]
• Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic NeuronsRasmus Kjær Høier, D. Staudt, Christopher Zach. 13141-13156 [doi]
• Multi-Task Off-Policy Learning from Bandit FeedbackJoey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh. 13157-13173 [doi]
• Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative SketchingIlgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar. 13174-13198 [doi]
• Revisiting Data-Free Knowledge Distillation with Poisoned TeachersJunyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou. 13199-13212 [doi]
• simple diffusion: End-to-end diffusion for high resolution imagesEmiel Hoogeboom, Jonathan Heek, Tim Salimans. 13213-13232 [doi]
• Causal Strategic Classification: A Tale of Two ShiftsGuy Horowitz, Nir Rosenfeld. 13233-13253 [doi]
• Fair and Accurate Decision Making through Group-Aware LearningRamtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie. 13254-13269 [doi]
• Approximation Algorithms for Fair Range ClusteringSèdjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian. 13270-13284 [doi]
• Decoding Layer Saliency in Language TransformersElizabeth Mary Hou, Gregory David Castañón. 13285-13308 [doi]
• PromptBoosting: Black-Box Text Classification with Ten Forward PassesBairu Hou, Joe O'Connor, Jacob Andreas, Shiyu Chang, Yang Zhang. 13309-13324 [doi]
• Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic ApproachBoya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya. 13325-13352 [doi]
• Probably Anytime-Safe Stochastic Combinatorial Semi-BanditsYunlong Hou, Vincent Y. F. Tan, Zixin Zhong. 13353-13409 [doi]
• Automatic Data Augmentation via Invariance-Constrained LearningIgnacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro. 13410-13433 [doi]
• Thompson Sampling with Diffusion Generative PriorYu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum. 13434-13468 [doi]
• Tighter Analysis for ProxSkipZhengmian Hu, Heng Huang. 13469-13496 [doi]
• Omnipredictors for Constrained OptimizationLunjia Hu, Inbal Rachel Livni Navon, Omer Reingold, Chutong Yang. 13497-13527 [doi]
• GFlowNet-EM for Learning Compositional Latent Variable ModelsEdward J. Hu, Nikolay Malkin, Moksh Jain, Katie E. Everett, Alexandros Graikos, Yoshua Bengio. 13528-13549 [doi]
• Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel OptimizationQuanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang 0005, Tianbao Yang. 13550-13583 [doi]
• Language Instructed Reinforcement Learning for Human-AI CoordinationHengyuan Hu, Dorsa Sadigh. 13584-13598 [doi]
• Surface Snapping Optimization Layer for Single Image Object Shape ReconstructionYuan-Ting Hu, Alexander G. Schwing, Raymond A. Yeh. 13599-13609 [doi]
• Learning to Learn from APIs: Black-Box Data-Free Meta-LearningZixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao. 13610-13627 [doi]
• For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created EqualYingdong Hu, Renhao Wang, Li Erran Li, Yang Gao. 13628-13651 [doi]
• Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex OptimizationZhengmian Hu, Xidong Wu, Heng Huang. 13652-13678 [doi]
• Understanding the Impact of Adversarial Robustness on Accuracy DisparityYuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao 0002. 13679-13709 [doi]
• Reinforcement Learning in Low-rank MDPs with Density FeaturesAudrey Huang, Jinglin Chen, Nan Jiang 0008. 13710-13752 [doi]
• Composer: Creative and Controllable Image Synthesis with Composable ConditionsLianghua Huang, Di Chen, Yu Liu 0063, Yujun Shen, Deli Zhao, Jingren Zhou. 13753-13773 [doi]
• Model-Aware Contrastive Learning: Towards Escaping the DilemmasZizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang 0078, Huaxiong Li, Bo Wang 0027, Chunlin Chen. 13774-13790 [doi]
• High-dimensional Clustering onto Hamiltonian CycleTianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang. 13791-13813 [doi]
• Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit LearningJiatai Huang, Yan Dai 0002, Longbo Huang. 13814-13844 [doi]
• Fast Algorithms for Distributed k-Clustering with OutliersJunyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu 0001, Jianxin Wang 0001. 13845-13868 [doi]
• Searching Large Neighborhoods for Integer Linear Programs with Contrastive LearningTaoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner. 13869-13890 [doi]
• On Coresets for Clustering in Small Dimensional Euclidean spacesLingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu 0002. 13891-13915 [doi]
• Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion ModelsRongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren 0006, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao. 13916-13932 [doi]
• The Power of Uniform Sampling for k-MedianLingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou. 13933-13956 [doi]
• Reparameterized Policy Learning for Multimodal Trajectory OptimizationZhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su 0001. 13957-13975 [doi]
• Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite ProgrammingYufan Huang, C. Seshadhri 0001, David F. Gleich. 13976-13992 [doi]
• NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal DecompositionXinquan Huang, Wenlei Shi, Qi Meng, Yue Wang 0017, Xiaotian Gao, Jia Zhang, Tie-Yan Liu. 13993-14006 [doi]
• Policy Contrastive Imitation LearningJialei Huang, Zhao-Heng Yin, Yingdong Hu, Yang Gao. 14007-14022 [doi]
• Are Large Kernels Better Teachers than Transformers for ConvNets?Tianjin Huang, Lu Yin 0006, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu. 14023-14038 [doi]
• Achieving Linear Speedup in Non-IID Federated Bilevel LearningMinhui Huang, Dewei Zhang, Kaiyi Ji. 14039-14059 [doi]
• Federated Linear Contextual Bandits with User-level Differential PrivacyRuiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang. 14060-14095 [doi]
• Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized NetworksMinyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola. 14096-14113 [doi]
• Cut your Losses with SquentropyLike Hui, Mikhail Belkin, Stephen Wright. 14114-14131 [doi]
• SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time SeriesIris A. M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M. van Gilst, Ruud van Sloun. 14132-14152 [doi]
• One-Shot Federated Conformal PredictionPierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot. 14153-14177 [doi]
• The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning DynamicsAamal Abbas Hussain, Francesco Belardinelli, Dario Paccagnan. 14178-14202 [doi]
• Combinatorial Neural BanditsTaeHyun Hwang, Kyuwook Chai, Min-hwan Oh. 14203-14236 [doi]
• MAGANet: Achieving Combinatorial Generalization by Modeling a Group ActionGeonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang. 14237-14248 [doi]
• Information-Theoretic State Space Model for Multi-View Reinforcement LearningHyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-hyeong Kim, Seunghoon Hong, Kee-Eung Kim. 14249-14282 [doi]
• Under-Counted Tensor Completion with Neural Incorporation of AttributesShahana Ibrahim, Xiao Fu 0001, Rebecca A. Hutchinson, Eugene Seo 0001. 14283-14315 [doi]
• On the Identifiability and Estimation of Causal Location-Scale Noise ModelsAlexander Immer, Christoph Schultheiss, Julia E. Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx. 14316-14332 [doi]
• Stochastic Marginal Likelihood Gradients using Neural Tangent KernelsAlexander Immer, Tycho F. A. van der Ouderaa, Mark van der Wilk, Gunnar Rätsch, Bernhard Schölkopf. 14333-14352 [doi]
• Differentially Private Hierarchical Clustering with Provable Approximation GuaranteesJacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni. 14353-14375 [doi]
• Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization MethodsBrian Irwin, Eldad Haber, Raviv Gal, Avi Ziv. 14376-14389 [doi]
• Principled Offline RL in the Presence of Rich Exogenous InformationRiashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li 0033, Harm van Seijen, Remi Tachet des Combes, John Langford 0001. 14390-14421 [doi]
• Unveiling the Latent Space Geometry of Push-Forward Generative ModelsThibaut Issenhuth, Ugo Tanielian, Jérémie Mary, David Picard. 14422-14444 [doi]
• CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental DesignDesi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster 0001. 14445-14464 [doi]
• DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size ScheduleMaor Ivgi, Oliver Hinder, Yair Carmon. 14465-14499 [doi]
• Maximal Initial Learning Rates in Deep ReLU NetworksGaurav Iyer, Boris Hanin, David Rolnick. 14500-14530 [doi]
• Data-Driven Subgroup Identification for Linear RegressionZachary Izzo, RuiShan Liu, James Zou 0001. 14531-14552 [doi]
• Efficient Training of Language Models using Few-Shot LearningSashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar. 14553-14568 [doi]
• Scalable Adaptive Computation for Iterative GenerationAllan Jabri, David J. Fleet, Ting Chen. 14569-14589 [doi]
• Unconstrained Online Learning with Unbounded LossesAndrew Jacobsen, Ashok Cutkosky. 14590-14630 [doi]
• Multi-Objective GFlowNetsMoksh Jain, Sharath Chandra Raparthy, Alex Hernández-García, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio. 14631-14653 [doi]
• The Price of Differential Privacy under Continual ObservationPalak Jain 0004, Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith. 14654-14678 [doi]
• Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate CommunicationAjay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding 0001, Zhangyang Wang. 14679-14690 [doi]
• Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large ModelsAjay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding 0001, Zhangyang Wang. 14691-14701 [doi]
• Exploring the Benefits of Training Expert Language Models over Instruction TuningJoel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo. 14702-14729 [doi]
• Learning to Boost Training by Periodic Nowcasting Near Future WeightsJinhyeok Jang, Woo-han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim 0001, Jaeyeon Lee 0001, ByungOk Han. 14730-14757 [doi]
• Unscented AutoencoderFaris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zoellner. 14758-14779 [doi]
• Curiosity in Hindsight: Intrinsic Exploration in Stochastic EnvironmentsDaniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko. 14780-14816 [doi]
• BiRT: Bio-inspired Replay in Vision Transformers for Continual LearningKishaan Jeeveswaran, Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani. 14817-14835 [doi]
• Recovering Top-Two Answers and Confusion Probability in Multi-Choice CrowdsourcingHyeonsu Jeong, Hye Won Chung. 14836-14868 [doi]
• Leveraging Label Non-Uniformity for Node Classification in Graph Neural NetworksFeng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee-Peng Tay. 14869-14885 [doi]
• Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data DistributionsLin-Han Jia, Lan-Zhe Guo, Zhi Zhou 0007, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li. 14886-14901 [doi]
• Short-lived High-volume BanditsSu Jia, Nishant Oli, Ian Anderson, Paul Duff, Andrew A. Li, R. Ravi 0001. 14902-14929 [doi]
• Smooth Non-stationary BanditsSu Jia, Qian Xie, Nathan Kallus, Peter I. Frazier. 14930-14944 [doi]
• A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing RatesHaiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, Bin Gu 0001. 14945-14974 [doi]
• VIMA: Robot Manipulation with Multimodal PromptsYunfan Jiang, Agrim Gupta, Zichen Zhang 0011, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei 0001, Anima Anandkumar, Yuke Zhu, Linxi Fan. 14975-15022 [doi]
• Estimating Causal Effects using a Multi-task Deep EnsembleZiyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David E. Carlson. 15023-15040 [doi]
• Online Restless Bandits with Unobserved StatesBowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang, Chenghu Zhou. 15041-15066 [doi]
• Detecting Out-of-distribution Data through In-distribution Class PriorXue Jiang, Feng Liu, Zhen Fang, Hong Chen 0004, Tongliang Liu, Feng Zheng, Bo Han. 15067-15088 [doi]
• 1 Bounded Adversarial AttacksYulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Süsstrunk. 15089-15104 [doi]
• Learning Unnormalized Statistical Models via Compositional OptimizationWei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang. 15105-15124 [doi]
• Approximate Causal Effect Identification under Weak ConfoundingZiwei Jiang, Lai Wei, Murat Kocaoglu. 15125-15143 [doi]
• MEWL: Few-shot multimodal word learning with referential uncertaintyGuangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang, Yixin Zhu. 15144-15169 [doi]
• NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral MeshesChenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao. 15170-15185 [doi]
• Effective Structured Prompting by Meta-Learning and Representative VerbalizerWeisen Jiang, Yu Zhang, James T. Kwok. 15186-15199 [doi]
• Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix SensingJikai Jin, Zhiyuan Li 0005, Kaifeng Lyu, Simon Shaolei Du, Jason D. Lee. 15200-15238 [doi]
• Thompson Sampling with Less Exploration is Fast and OptimalTianyuan Jin, XiangLin Yang, Xiaokui Xiao, Pan Xu 0002. 15239-15261 [doi]
• R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User IntentsDaniel D. Johnson 0001, Daniel Tarlow, Christian Walder. 15262-15306 [doi]
• Automatically Auditing Large Language Models via Discrete OptimizationErik Jones, Anca D. Dragan, Aditi Raghunathan, Jacob Steinhardt. 15307-15329 [doi]
• On the Expressive Power of Geometric Graph Neural NetworksChaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Lio. 15330-15355 [doi]
• Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the LeastSiddharth Joshi, Baharan Mirzasoleiman. 15356-15370 [doi]
• Robust Subtask Learning for Compositional GeneralizationKishor Jothimurugan, Steve Hsu, Osbert Bastani, Rajeev Alur. 15371-15387 [doi]
• On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch NormalizationAmir Joudaki, Hadi Daneshmand, Francis R. Bach. 15388-15400 [doi]
• FARE: Provably Fair Representation Learning with Practical CertificatesNikola Jovanovic 0001, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin T. Vechev. 15401-15420 [doi]
• Scaling of Class-wise Training Losses for Post-hoc CalibrationSeungjin Jung, Seungmo Seo, Yonghyun Jeong, Jongwon Choi. 15421-15434 [doi]
• Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformationYeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang. 15435-15450 [doi]
• Estimating Joint Treatment Effects by Combining Multiple ExperimentsYonghan Jung, Jin Tian 0001, Elias Bareinboim. 15451-15527 [doi]
• The Catalog Problem: Clustering and Ordering Variable-Sized SetsMateusz Maria Jurewicz, Graham W. Taylor, Leon Derczynski. 15528-15545 [doi]
• Equivariance with Learned Canonicalization FunctionsSékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh. 15546-15566 [doi]
• Biases in Evaluation of Molecular Optimization Methods and Bias Reduction StrategiesHiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami. 15567-15585 [doi]
• Statistical Indistinguishability of Learning AlgorithmsAlkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas. 15586-15622 [doi]
• Identifying Interpretable Subspaces in Image RepresentationsNeha Mukund Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi. 15623-15638 [doi]
• Nonlinear Causal Discovery with Latent ConfoundersDavid Kaltenpoth, Jilles Vreeken. 15639-15654 [doi]
• Deep Generative Symbolic Regression with Monte-Carlo-Tree-SearchPierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin. 15655-15668 [doi]
• One-vs-the-Rest Loss to Focus on Important Samples in Adversarial TrainingSekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida. 15669-15695 [doi]
• Large Language Models Struggle to Learn Long-Tail KnowledgeNikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, Colin Raffel. 15696-15707 [doi]
• Git-Theta: A Git Extension for Collaborative Development of Machine Learning ModelsNikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel. 15708-15719 [doi]
• A Deep Conjugate Direction Method for Iteratively Solving Linear SystemsAyano Kaneda, Osman Akar, Jingyu Chen, Victoria Alicia Trevino Kala, David Hyde 0001, Joseph Teran. 15720-15736 [doi]
• Leveraging Proxy of Training Data for Test-Time AdaptationJuwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak. 15737-15752 [doi]
• Beyond Reward: Offline Preference-guided Policy OptimizationYachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang. 15753-15768 [doi]
• Poisoning Generative Replay in Continual Learning to Promote ForgettingSiteng Kang, Zhan Shi, Xinhua Zhang. 15769-15785 [doi]
• Node Embedding from Neural Hamiltonian Orbits in Graph Neural NetworksQiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee-Peng Tay. 15786-15808 [doi]
• Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit BiasRyo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa. 15809-15827 [doi]
• Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement LearningAmin Karbasi, Nikki Lijing Kuang, Yi-An Ma, Siddharth Mitra. 15828-15860 [doi]
• On the Relationship Between Explanation and Prediction: A Causal ViewAmir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim. 15861-15883 [doi]
• Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component AnalysisSanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong 0001, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee. 15884-15899 [doi]
• General Sequential Episodic Memory ModelArjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann. 15900-15910 [doi]
• Regression with Sensor Data Containing Incomplete ObservationsTakayuki Katsuki, Takayuki Osogami. 15911-15927 [doi]
• Data Representations' Study of Latent Image ManifoldsIlya Kaufman, Omri Azencot. 15928-15945 [doi]
• Multi-Modal Classifiers for Open-Vocabulary Object DetectionPrannay Kaul, Weidi Xie, Andrew Zisserman. 15946-15969 [doi]
• Learning Mixtures of Markov Chains and MDPsChinmaya Kausik, Kevin Tan, Ambuj Tewari. 15970-16017 [doi]
• Curious Replay for Model-based AdaptationIsaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber. 16018-16048 [doi]
• How Does Information Bottleneck Help Deep Learning?Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang. 16049-16096 [doi]
• Instrumental Variable Estimation of Average Partial Causal EffectsYuta Kawakami, Manabu Kuroki, Jin Tian. 16097-16130 [doi]
• The Test of Tests: A Framework for Differentially Private Hypothesis TestingZeki Kazan, Kaiyan Shi, Adam Groce, Andrew P. Bray. 16131-16151 [doi]
• Exact Inference in High-order Structured PredictionChuyang Ke, Jean Honorio. 16152-16167 [doi]
• Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural NetworksT. Anderson Keller, Max Welling. 16168-16189 [doi]
• Homomorphism AutoEncoder - Learning Group Structured Representations from Observed TransitionsHamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf. 16190-16215 [doi]
• Rethinking Backdoor AttacksAlaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry. 16216-16236 [doi]
• PAC Prediction Sets for Large Language Models of CodeAdam Khakhar, Stephen Mell, Osbert Bastani. 16237-16249 [doi]
• Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point ProblemsMohammad Khalafi, Digvijay Boob. 16250-16270 [doi]
• Loss Balancing for Fair Supervised LearningMohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan. 16271-16290 [doi]
• Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient ApproachPrashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu 0001, Jiawei Zhang, Mingyi Hong. 16291-16325 [doi]
• Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High DimensionsMahyar Khayatkhoei, Wael Abd-Almageed. 16326-16343 [doi]
• Learning-augmented private algorithms for multiple quantile releaseMikhail Khodak, Kareem Amin 0002, Travis Dick, Sergei Vassilvitskii. 16344-16376 [doi]
• CrossSplit: Mitigating Label Noise Memorization through Data SplittingJihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien. 16377-16392 [doi]
• Trainability, Expressivity and Interpretability in Gated Neural ODEsTimothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy. 16393-16423 [doi]
• SAAL: Sharpness-Aware Active LearningYoon-Yeong Kim, Youngjae Cho, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon. 16424-16440 [doi]
• Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional CurriculumJigang Kim, Daesol Cho, H. Jin Kim. 16441-16457 [doi]
• Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit FeedbackWonyoung Kim, Garud Iyengar, Assaf Zeevi. 16458-16501 [doi]
• Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic ProgrammingJinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song. 16502-16520 [doi]
• Probabilistic Concept Bottleneck ModelsEunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon. 16521-16540 [doi]
• DevFormer: A Symmetric Transformer for Context-Aware Device PlacementHaeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park. 16541-16566 [doi]
• Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsDongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon. 16567-16598 [doi]
• Robust Non-Linear Feedback Coding via Power-Constrained Deep LearningJunghoon Kim, Taejoon Kim, David J. Love, Christopher G. Brinton. 16599-16618 [doi]
• LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option FrameworkWoojun Kim, Jeonghye Kim, Youngchul Sung. 16619-16638 [doi]
• BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language ModelsTaebum Kim, HyoungJoo Kim, Gyeong-In Yu, Byung-Gon Chun. 16639-16653 [doi]
• Probabilistic Imputation for Time-series Classification with Missing DataSeunghyun Kim, Hyunsu Kim, Eunggu Yun, Hwangrae Lee, Jaehun Lee, Juho Lee 0001. 16654-16667 [doi]
• Variational Curriculum Reinforcement Learning for Unsupervised Discovery of SkillsSeongun Kim, Kyowoon Lee, Jaesik Choi. 16668-16695 [doi]
• Margin-based Neural Network WatermarkingByungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang. 16696-16711 [doi]
• Regularizing Towards Soft Equivariance Under Mixed SymmetriesHyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee 0001. 16712-16727 [doi]
• Model-based Offline Reinforcement Learning with Count-based ConservatismByeongchan Kim, Min-hwan Oh. 16728-16746 [doi]
• Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic OptimizationChanyeong Kim, Jongwoong Park, Hyunglip Bae, Woo Chang Kim. 16747-16770 [doi]
• SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic GenesJunetae Kim, Kyoungsuk Park, Hanseok Jeong, Youngwook Kim, Jeongseon Kim, Sun Young Kim. 16771-16786 [doi]
• Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual LearningSeungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho. 16787-16806 [doi]
• Prefer to Classify: Improving Text Classifiers via Auxiliary Preference LearningJaehyung Kim, Jinwoo Shin, Dongyeop Kang. 16807-16828 [doi]
• An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement LearningWoojun Kim, Youngchul Sung. 16829-16852 [doi]
• Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian InferenceKyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner. 16853-16876 [doi]
• Learnability and Algorithm for Continual LearningGyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu 0001. 16877-16896 [doi]
• Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective FunctionsJungbin Kim, Insoon Yang. 16897-16954 [doi]
• Denoising MCMC for Accelerating Diffusion-Based Generative ModelsBeomsu Kim, Jong Chul Ye. 16955-16977 [doi]
• Structure Learning of Latent Factors via Clique Search on Correlation Thresholded GraphsDale Kim, Qing Zhou. 16978-16996 [doi]
• Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy LearningKwangho Kim, José R. Zubizarreta. 16997-17014 [doi]
• Proper Losses for Discrete Generative ModelsDhamma Kimpara, Rafael M. Frongillo, Bo Waggoner. 17015-17040 [doi]
• Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder NetworkYuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda. 17041-17060 [doi]
• A Watermark for Large Language ModelsJohn Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein. 17061-17084 [doi]
• Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous InputsMichael Kirchhof, Enkelejda Kasneci, Seong Joon Oh. 17085-17104 [doi]
• Training Normalizing Flows from Dependent DataMatthias Kirchler, Christoph Lippert, Marius Kloft. 17105-17121 [doi]
• IncDSI: Incrementally Updatable Document RetrievalVarsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q. Weinberger. 17122-17134 [doi]
• Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and PracticeToshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo. 17135-17175 [doi]
• Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over FunctionsLeo Klarner, Tim G. J. Rudner, Michael Reutlinger, Torsten Schindler, Garrett M. Morris, Charlotte M. Deane, Yee Whye Teh. 17176-17197 [doi]
• Deep Laplacian-based Options for Temporally-Extended ExplorationMartin Klissarov, Marlos C. Machado. 17198-17217 [doi]
• Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low CostMarina Knittel, Max Springer, John P. Dickerson, MohammadTaghi Hajiaghayi. 17218-17242 [doi]
• Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?Boris Knyazev, Doha Hwang, Simon Lacoste-Julien. 17243-17259 [doi]
• Online Learning with Feedback Graphs: The True Shape of RegretTomás Kocák, Alexandra Carpentier. 17260-17282 [doi]
• Grounding Language Models to Images for Multimodal Inputs and OutputsJing Yu Koh, Ruslan Salakhutdinov, Daniel Fried. 17283-17300 [doi]
• Rigid Body Flows for Sampling Molecular Crystal StructuresJonas Köhler 0001, Michele Invernizzi, Pim de Haan, Frank Noé. 17301-17326 [doi]
• Enabling First-Order Gradient-Based Learning for Equilibrium Computation in MarketsNils Kohring, Fabian Raoul Pieroth, Martin Bichler. 17327-17342 [doi]
• Revisiting Gradient Clipping: Stochastic bias and tight convergence guaranteesAnastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich. 17343-17363 [doi]
• On Computing Optimal Tree EnsemblesChristian Komusiewicz, Pascal Kunz, Frank Sommer, Manuel Sorge. 17364-17374 [doi]
• GOAT: A Global Transformer on Large-scale GraphsKezhi Kong, Jiuhai Chen, John Kirchenbauer, Renkun Ni, C. Bayan Bruss, Tom Goldstein. 17375-17390 [doi]
• Autoregressive Diffusion Model for Graph GenerationLingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang 0014. 17391-17408 [doi]
• End-to-End Full-Atom Antibody DesignXiangzhe Kong, Wenbing Huang 0001, Yang Liu 0005. 17409-17429 [doi]
• Covariate balancing using the integral probability metric for causal inferenceInsung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim. 17430-17461 [doi]
• Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior InferenceInsung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim. 17462-17491 [doi]
• Parameter-Level Soft-Masking for Continual LearningTatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu 0001. 17492-17505 [doi]
• Pretraining Language Models with Human PreferencesTomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez. 17506-17533 [doi]
• Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust DecisionsEzgi Korkmaz, Jonah Brown-Cohen. 17534-17543 [doi]
• Ewald-based Long-Range Message Passing for Molecular GraphsArthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann. 17544-17563 [doi]
• TabDDPM: Modelling Tabular Data with Diffusion ModelsAkim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko. 17564-17579 [doi]
• Randomized Schur Complement Views for Graph Contrastive LearningVignesh Kothapalli. 17580-17614 [doi]
• Benign Overfitting in Two-layer ReLU Convolutional Neural NetworksYiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu. 17615-17659 [doi]
• Variational Mixture of HyperGenerators for Learning Distributions over FunctionsBatuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera. 17660-17683 [doi]
• Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and BeyondItai Kreisler, Mor Shpigel Nacson, Daniel Soudry, Yair Carmon. 17684-17744 [doi]
• Estimation Beyond Data Reweighting: Kernel Method of MomentsHeiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu. 17745-17783 [doi]
• Multi-Task Differential Privacy Under Distribution SkewWalid Krichene, Prateek Jain 0002, Shuang Song 0001, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang 0001. 17784-17807 [doi]
• Towards Bridging the Gaps between the Right to Explanation and the Right to be ForgottenSatyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju. 17808-17826 [doi]
• Graph Neural Tangent Kernel: Convergence on Large GraphsSanjukta Krishnagopal, Luana Ruiz. 17827-17841 [doi]
• Diffusion Models for Black-Box OptimizationSiddarth Krishnamoorthy, Satvik Mehul Mashkaria, Aditya Grover. 17842-17857 [doi]
• Learning to Design Analog Circuits to Meet Threshold SpecificationsDmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox. 17858-17873 [doi]
• Variance Control for Distributional Reinforcement LearningQi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou. 17874-17895 [doi]
• Hierarchical Imitation Learning with Vector Quantized ModelsKalle Kujanpää, Joni Pajarinen, Alexander Ilin. 17896-17919 [doi]
• SinDDM: A Single Image Denoising Diffusion ModelVladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli. 17920-17930 [doi]
• Towards Explaining Distribution ShiftsSean Kulinski, David I. Inouye. 17931-17952 [doi]
• Featured Graph Coarsening with Similarity GuaranteesManoj Kumar, Anurag Sharma, Shashwat Saxena, Sandeep Kumar. 17953-17975 [doi]
• Modeling Dynamic Environments with Scene Graph MemoryAndrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li 0002, Ruohan Zhang, Li Fei-Fei 0001, Jiajun Wu 0001, Silvio Savarese, Roberto Martín-Martín. 17976-17993 [doi]
• Tied-Augment: Controlling Representation Similarity Improves Data AugmentationEmirhan Kurtulus, Zichao Li, Yann N. Dauphin, Ekin Dogus Cubuk. 17994-18007 [doi]
• Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational AutoencodersOskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Víctor Elvira, Jens Lagergren. 18008-18022 [doi]
• GeCoNeRF: Few-shot Neural Radiance Fields via Geometric ConsistencyMinseop Kwak, Jiuhn Song, Seungryong Kim. 18023-18036 [doi]
• Rotation and Translation Invariant Representation Learning with Implicit Neural RepresentationsSehyun Kwon, Joo-Young Choi, Ernest K. Ryu. 18037-18056 [doi]
• Reward-Mixing MDPs with Few Latent Contexts are LearnableJeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor. 18057-18082 [doi]
• A Fully First-Order Method for Stochastic Bilevel OptimizationJeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D. Nowak. 18083-18113 [doi]
• Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary LearningDohyun Kwon, Hanbaek Lyu. 18114-18134 [doi]
• Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data ValueYongchan Kwon, James Zou 0001. 18135-18152 [doi]
• Emergence of Adaptive Circadian Rhythms in Deep Reinforcement LearningAqeel Labash, Florian Stelzer, Daniel Majoral, Raul Vicente Zafra. 18153-18170 [doi]
• Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task LearningSébastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand. 18171-18206 [doi]
• Nearly-Optimal Hierarchical Clustering for Well-Clustered GraphsSteinar Laenen, Bogdan-Adrian Manghiuc, He Sun 0001. 18207-18249 [doi]
• Hybrid Energy Based Model in the Feature Space for Out-of-Distribution DetectionMarc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome. 18250-18268 [doi]
• A theory of continuous generative flow networksSalem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-García, Léna Néhale Ezzine, Yoshua Bengio, Nikolay Malkin. 18269-18300 [doi]
• Automatically marginalized MCMC in probabilistic programmingJinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon. 18301-18318 [doi]
• DS-1000: A Natural and Reliable Benchmark for Data Science Code GenerationYuhang Lai, Chengxi Li 0011, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu. 18319-18345 [doi]
• ChiPFormer: Transferable Chip Placement via Offline Decision TransformerYao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo 0002. 18346-18364 [doi]
• FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck EquationChieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon. 18365-18398 [doi]
• Private Statistical Estimation of Many QuantilesClément Lalanne, Aurélien Garivier, Rémi Gribonval. 18399-18418 [doi]
• Bootstrap in High Dimension with Low ComputationHenry Lam, Zhenyuan Liu. 18419-18453 [doi]
• LegendreTron: Uprising Proper Multiclass Loss LearningKevin H. Lam, Christian J. Walder, Spiridon Penev, Richard Nock. 18454-18470 [doi]
• Metagenomic Binning using Connectivity-constrained Variational AutoencodersAndre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen. 18471-18481 [doi]
• Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit FeedbackTal Lancewicki, Aviv Rosenberg 0002, Dmitry Sotnikov. 18482-18534 [doi]
• Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free TrainabilityRobert Tjarko Lange, Henning Sprekeler. 18535-18547 [doi]
• On the Occupancy Measure of Non-Markovian Policies in Continuous MDPsRomain Laroche, Remi Tachet des Combes. 18548-18562 [doi]
• Minimalistic Predictions to Schedule Jobs with Online Precedence ConstraintsAlexandra Anna Lassota, Alexander Lindermayr, Nicole Megow, Jens Schlöter. 18563-18583 [doi]
• Speeding Up Bellman Ford via Minimum Violation PermutationsSilvio Lattanzi, Ola Svensson, Sergei Vassilvitskii. 18584-18598 [doi]
• Who Needs to Know? Minimal Knowledge for Optimal CoordinationNiklas Lauffer, Ameesh Shah, Micah Carroll, Michael D. Dennis, Stuart Russell 0001. 18599-18613 [doi]
• Target-based Surrogates for Stochastic OptimizationJonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt 0001, Nicolas Le Roux. 18614-18651 [doi]
• Cluster Explanation via Polyhedral DescriptionsConnor Lawless, Oktay Günlük. 18652-18666 [doi]
• Pre-training for Speech Translation: CTC Meets Optimal TransportPhuong-Hang Le, Hongyu Gong, Changhan Wang, Juan Pino 0001, Benjamin Lecouteux, Didier Schwab. 18667-18685 [doi]
• Bootstrapped Representations in Reinforcement LearningCharline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G. Bellemare, Will Dabney. 18686-18713 [doi]
• Strategic Classification with Unknown User ManipulationsTosca Lechner, Ruth Urner, Shai Ben-David. 18714-18732 [doi]
• Learning in POMDPs is Sample-Efficient with Hindsight ObservabilityJonathan Lee 0002, Alekh Agarwal, Christoph Dann, Tong Zhang 0001. 18733-18773 [doi]
• Towards Deep Attention in Graph Neural Networks: Problems and RemediesSoo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin. 18774-18795 [doi]
• InGram: Inductive Knowledge Graph Embedding via Relation GraphsJaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang. 18796-18809 [doi]
• Optimality of Thompson Sampling with Noninformative Priors for Pareto BanditsJongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama. 18810-18851 [doi]
• Conditional Graph Information Bottleneck for Molecular Relational LearningNamkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee 0002, Chanyoung Park. 18852-18871 [doi]
• Exploring Chemical Space with Score-based Out-of-distribution GenerationSeul Lee, Jaehyeong Jo, Sung Ju Hwang. 18872-18892 [doi]
• Pix2Struct: Screenshot Parsing as Pretraining for Visual Language UnderstandingKenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu 0001, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova. 18893-18912 [doi]
• FlexRound: Learnable Rounding based on Element-wise Division for Post-Training QuantizationJung-Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee. 18913-18939 [doi]
• CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular SynthesisChaejeong Lee, Jayoung Kim 0002, Noseong Park. 18940-18956 [doi]
• Minimizing Trajectory Curvature of ODE-based Generative ModelsSangyun Lee, Beomsu Kim, Jong Chul Ye. 18957-18973 [doi]
• H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical FeaturesHangbin Lee, Youngjo Lee. 18974-18987 [doi]
• On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement LearningHoJoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, ByungKun Lee, Jaegul Choo. 18988-19009 [doi]
• HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic EncryptionSeewoo Lee, Garam Lee, Jung-Woo Kim, Junbum Shin, Mun-Kyu Lee. 19010-19035 [doi]
• QASA: Advanced Question Answering on Scientific ArticlesYoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-in Lee, Moontae Lee. 19036-19052 [doi]
• Demystifying Disagreement-on-the-Line in High DimensionsDonghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani. 19053-19093 [doi]
• On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable ParametersWonyeol Lee 0001, Sejun Park, Alex Aiken. 19094-19140 [doi]
• Implicit Jacobian regularization weighted with impurity of probability outputSungyoon Lee, Jinseong Park 0001, Jaewook Lee 0001. 19141-19184 [doi]
• Unsupervised Skill Discovery for Learning Shared Structures across Changing EnvironmentsSang Hyun Lee, Seung-Woo Seo. 19185-19199 [doi]
• Generalization Analysis for Contrastive Representation LearningYunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou. 19200-19227 [doi]
• Learning Control by Iterative InversionGal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar. 19228-19255 [doi]
• Sampling-Based Accuracy Testing of Posterior Estimators for General InferencePablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault Levasseur. 19256-19273 [doi]
• Fast Inference from Transformers via Speculative DecodingYaniv Leviathan, Matan Kalman, Yossi Matias. 19274-19286 [doi]
• Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function ApproximationOrin Levy, Alon Cohen, Asaf B. Cassel, Yishay Mansour. 19287-19314 [doi]
• GLOBE-CE: A Translation Based Approach for Global Counterfactual ExplanationsDan Ley, Saumitra Mishra, Daniele Magazzeni. 19315-19342 [doi]
• TIPS: Topologically Important Path Sampling for Anytime Neural NetworksGuihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu. 19343-19359 [doi]
• MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from ObservationsAnqi Li, Byron Boots, Ching-An Cheng. 19360-19384 [doi]
• Internet Explorer: Targeted Representation Learning on the Open WebAlexander Cong Li, Ellis Langham Brown, Alexei A. Efros, Deepak Pathak. 19385-19406 [doi]
• Prototype-oriented unsupervised anomaly detection for multivariate time seriesYuxin Li, Wenchao Chen, Bo Chen 0001, Dongsheng Wang, Long Tian, Mingyuan Zhou. 19407-19424 [doi]
• Learning Preconditioners for Conjugate Gradient PDE SolversYichen Li, Peter Yichen Chen, Tao Du 0001, Wojciech Matusik. 19425-19439 [doi]
• Parallel Q-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel SimulationZechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal. 19440-19459 [doi]
• Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal ApproximationLi'ang Li, Yifei Duan, Guanghua Ji, Yongqiang Cai. 19460-19470 [doi]
• FAIRER: Fairness as Decision Rationale AlignmentTianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu. 19471-19489 [doi]
• RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative EvolutionPengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu. 19490-19503 [doi]
• Adversarial Collaborative Learning on Non-IID FeaturesQinbin Li, Bingsheng He, Dawn Song. 19504-19526 [doi]
• Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise ConstraintsDonghao Li, Ruiquan Huang, Cong Shen 0001, Jing Yang. 19527-19564 [doi]
• Transformers as Algorithms: Generalization and Stability in In-context LearningYingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak. 19565-19594 [doi]
• Improving Hyperparameter Learning under Approximate Inference in Gaussian Process ModelsRui Li, S. T. John, Arno Solin. 19595-19615 [doi]
• Local Vertex Colouring Graph Neural NetworksShouheng Li, Dongwoo Kim 0002, Qing Wang 0002. 19616-19637 [doi]
• Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial ParticipationXiaoyun Li, Ping Li 0001. 19638-19688 [doi]
• How Do Transformers Learn Topic Structure: Towards a Mechanistic UnderstandingYuchen Li 0007, Yuanzhi Li, Andrej Risteski. 19689-19729 [doi]
• BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsJunnan Li 0008, Dongxu Li, Silvio Savarese, Steven C. H. Hoi. 19730-19742 [doi]
• Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel RegressionJunfan Li, Shizhong Liao. 19743-19766 [doi]
• Revisiting Weighted Aggregation in Federated Learning with Neural NetworksZexi Li, Tao Lin, Xinyi Shang, Chao Wu. 19767-19788 [doi]
• Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded InteractionShaojie Li, Yong Liu. 19789-19810 [doi]
• Optimal Convergence Rates for Agnostic Nyström Kernel LearningJian Li, Yong Liu, Weiping Wang. 19811-19836 [doi]
• Reconstructive Neuron Pruning for Backdoor DefenseYige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang. 19837-19854 [doi]
• Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural NetworksShibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan 0001, Mike Kirby, Shandian Zhe. 19855-19881 [doi]
• Deep Anomaly Detection under Labeling Budget ConstraintsAodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph. 19882-19910 [doi]
• On the Initialization of Graph Neural NetworksJiahang Li, Yakun Song, Xiang Song, David Wipf. 19911-19931 [doi]
• Federated Adversarial Learning: A Framework with Convergence AnalysisXiaoxiao Li, Zhao Song 0002, Jiaming Yang. 19932-19959 [doi]
• How Powerful are Shallow Neural Networks with Bandlimited Random Weights?Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang. 19960-19981 [doi]
• Efficient Quantum Algorithms for Quantum Optimal ControlXiantao Li, Chunhao Wang. 19982-19994 [doi]
• Low-Switching Policy Gradient with Exploration via Online Sensitivity SamplingYunfan Li, Yiran Wang, Yu Cheng, Lin Yang. 19995-20034 [doi]
• Hierarchical Diffusion for Offline Decision MakingWenhao Li, Xiangfeng Wang, Bo Jin 0003, Hongyuan Zha. 20035-20064 [doi]
• Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High DimensionsWanshan Li, Daren Wang, Alessandro Rinaldo. 20065-20148 [doi]
• Architecture-Agnostic Masked Image Modeling - From ViT back to CNNSiyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li. 20149-20167 [doi]
• Learning Antidote Data to Individual UnfairnessPeizhao Li, Ethan Xia, Hongfu Liu. 20168-20181 [doi]
• Propensity Matters: Measuring and Enhancing Balancing for RecommendationHaoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu 0012, Peng Cui 0001. 20182-20194 [doi]
• GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning BenchmarksYuwen Li, Miao Xiong, Bryan Hooi. 20195-20209 [doi]
• SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes ProcessZichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha. 20210-20220 [doi]
• Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved BoundsShengshi Li, Lin Yang. 20221-20252 [doi]
• Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous DrivingWeixin Li, Xiaodong Yang. 20253-20275 [doi]
• Learning for Edge-Weighted Online Bipartite Matching with Robustness GuaranteesPengfei Li, Jianyi Yang, Shaolei Ren. 20276-20295 [doi]
• FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split ModelsSongze Li, Duanyi Yao, Jin Liu. 20296-20311 [doi]
• Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium ConstraintsJiayang Li, Jing Yu, Boyi Liu, Yu Nie, Zhaoran Wang. 20312-20335 [doi]
• LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse ApproximationYixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao. 20336-20350 [doi]
• Nesterov Meets Optimism: Rate-Optimal Separable Minimax OptimizationChris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael I. Jordan. 20351-20383 [doi]
• Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer EvaluationsChao Li, Junhua Zeng, Chunmei Li, Cesar F. Caiafa, Qibin Zhao. 20384-20411 [doi]
• Understanding the Complexity Gains of Single-Task RL with a CurriculumQiyang Li, Yuexiang Zhai, Yi Ma 0001, Sergey Levine. 20412-20451 [doi]
• Does a Neural Network Really Encode Symbolic Concepts?Mingjie Li, Quanshi Zhang. 20452-20469 [doi]
• Cooperative Open-ended Learning Framework for Zero-Shot CoordinationYang Li 0116, Shao Zhang, Jichen Sun, Yali Du 0001, Ying Wen 0001, Xinbing Wang, Wei Pan 0004. 20470-20484 [doi]
• Offline Reinforcement Learning with Closed-Form Policy Improvement OperatorsJiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang. 20485-20528 [doi]
• Optimal Arms Identification with KnapsacksShaoang Li, Lan Zhang 0002, Yingqi Yu, Xiangyang Li 0001. 20529-20555 [doi]
• Internally Rewarded Reinforcement LearningMengdi Li, Xufeng Zhao, Jae Hee Lee 0001, Cornelius Weber, Stefan Wermter. 20556-20574 [doi]
• Trustworthy Policy Learning under the Counterfactual No-Harm CriterionHaoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu. 20575-20598 [doi]
• Structured Cooperative Learning with Graphical Model PriorsShuangtong Li, Tianyi Zhou 0001, Xinmei Tian 0001, Dacheng Tao. 20599-20622 [doi]
• Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex SetEnming Liang, Minghua Chen 0001, Steven H. Low. 20623-20649 [doi]
• Consistency of Multiple Kernel ClusteringWeixuan Liang, Xinwang Liu, Yong Liu, Chuan Ma, Yunping Zhao, Zhe Liu 0001, En Zhu. 20650-20676 [doi]
• A Distribution Optimization Framework for Confidence Bounds of Risk MeasuresHao Liang, Zhi-Quan Luo. 20677-20705 [doi]
• Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data SubpopulationsWeixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou 0001. 20706-20724 [doi]
• AdaptDiffuser: Diffusion Models as Adaptive Self-evolving PlannersZhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo. 20725-20745 [doi]
• Learning Compiler Pass Orders using Coreset and Normalized Value PredictionYouwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian. 20746-20762 [doi]
• Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial ExamplesChumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan. 20763-20786 [doi]
• CLUSTSEG: Clustering for Universal SegmentationJames Chenhao Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang. 20787-20809 [doi]
• Conformal Inference is (almost) Free for Neural Networks Trained with Early StoppingZiyi Liang, Yanfei Zhou, Matteo Sesia. 20810-20851 [doi]
• Less is More: Task-aware Layer-wise Distillation for Language Model CompressionChen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao. 20852-20867 [doi]
• Statistical Inference and A/B Testing for First-Price Pacing EquilibriaLuofeng Liao, Christian Kroer. 20868-20905 [doi]
• Supervised Metric Learning to Rank for Retrieval via Contextual Similarity OptimizationChristopher Liao, Theodoros Tsiligkaridis, Brian Kulis. 20906-20938 [doi]
• Revisiting Domain Randomization via Relaxed State-Adversarial Policy OptimizationYun-Hsuan Lien, Ping-Chun Hsieh, Yu-Shuen Wang. 20939-20949 [doi]
• Variational Open-Domain Question AnsweringValentin Liévin, Andreas Geert Motzfeldt, Ida Riis Jensen, Ole Winther. 20950-20977 [doi]
• Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue CloudsYeqing Lin, Mohammed AlQuraishi. 20978-21002 [doi]
• Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation LearningYa-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon. 21003-21025 [doi]
• Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep LearningWu Lin, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt 0001. 21026-21050 [doi]
• Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph DenoiseZhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen. 21051-21064 [doi]
• Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech RepresentationsWeiwei Lin 0002, Chenhang He, Man-Wai Mak, Youzhi Tu. 21065-21077 [doi]
• Theory on Forgetting and Generalization of Continual LearningSen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff. 21078-21100 [doi]
• Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex OptimizationCheuk Yin Lin, Chaobing Song, Jelena Diakonikolas. 21101-21126 [doi]
• Safe Offline Reinforcement Learning with Real-Time Budget ConstraintsQian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang 0022. 21127-21152 [doi]
• Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian ModelsAlexander Lin, Bahareh Tolooshams, Yves Atchadé, Demba E. Ba. 21153-21181 [doi]
• Fast Online Value-Maximizing Prediction Sets with Conformal Cost ControlZhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun 0001. 21182-21203 [doi]
• Unveiling The Mask of Position-Information Pattern Through the Mist of Image FeaturesChieh Hubert Lin, Hung-Yu Tseng, Hsin-Ying Lee, Maneesh Kumar Singh 0001, Ming-Hsuan Yang 0001. 21204-21222 [doi]
• Fair yet Asymptotically Equal Collaborative LearningXiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low. 21223-21259 [doi]
• Efficient Approximations of Complete Interatomic Potentials for Crystal Property PredictionYuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu 0059, Xiaoning Qian, Shuiwang Ji. 21260-21287 [doi]
• Continuation Path Learning for Homotopy OptimizationXi Lin 0001, Zhiyuan Yang 0003, Xiaoyuan Zhang, Qingfu Zhang 0001. 21288-21311 [doi]
• Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not NecessaryAlexander Lindermayr, Nicole Megow, Martin Rapp. 21312-21334 [doi]
• Graph Mixup with Soft AlignmentsHongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou. 21335-21349 [doi]
• Deep Graph Representation Learning and Optimization for Influence MaximizationChen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao. 21350-21361 [doi]
• Emergent Agentic Transformer from Chain of Hindsight ExperienceHao Liu, Pieter Abbeel. 21362-21374 [doi]
• Shapley Based Residual Decomposition for Instance AnalysisTommy Liu, Amanda S. Barnard. 21375-21387 [doi]
• Learning Representations without Compositional AssumptionsTennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar. 21388-21403 [doi]
• Byzantine-Robust Learning on Heterogeneous Data via Gradient SplittingYuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen 0001. 21404-21425 [doi]
• Towards Constituting Mathematical Structures for Learning to OptimizeJialin Liu 0003, Xiaohan Chen, Zhangyang Wang, Wotao Yin, HanQin Cai. 21426-21449 [doi]
• AudioLDM: Text-to-Audio Generation with Latent Diffusion ModelsHaohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang 0001, Mark D. Plumbley. 21450-21474 [doi]
• Identifiability of Label Noise Transition MatrixYang Liu, Hao Cheng, Kun Zhang. 21475-21496 [doi]
• A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal PretrainingShengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang 0005. 21497-21526 [doi]
• Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein DiscrepancyXing Liu, Andrew B. Duncan, Axel Gandy. 21527-21547 [doi]
• Cones: Concept Neurons in Diffusion Models for Customized GenerationZhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao. 21548-21566 [doi]
• Opponent-Limited Online Search for Imperfect Information GamesWeiming Liu, Haobo Fu, Qiang Fu, Yang Wei 0032. 21567-21585 [doi]
• Towards Robust and Safe Reinforcement Learning with Benign Off-policy DataZuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao. 21586-21610 [doi]
• Constrained Decision Transformer for Offline Safe Reinforcement LearningZuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu 0003, Tingnan Zhang, Ding Zhao. 21611-21630 [doi]
• Understanding and Defending Patched-based Adversarial Attacks for Vision TransformerLiang Liu, Yanan Guo, Youtao Zhang, Jun Yang 0002. 21631-21657 [doi]
• NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform DataSongming Liu, Zhongkai Hao, Chengyang Ying, Hang Su, Ze Cheng, Jun Zhu. 21658-21671 [doi]
• Hierarchical Programmatic Reinforcement Learning via Learning to Compose ProgramsGuan-Ting Liu, En-Pei Hu, Pu-Jen Cheng, Hung-yi Lee, Shao-Hua Sun. 21672-21697 [doi]
• Online Local Differential Private Quantile Inference via Self-normalizationYi Liu, Qirui Hu, Lei Ding, Linglong Kong. 21698-21714 [doi]
• GFlowOut: Dropout with Generative Flow NetworksDianbo Liu, Moksh Jain, Bonaventure F. P. Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio. 21715-21729 [doi]
• 2D-Shapley: A Framework for Fragmented Data ValuationZhihong Liu, Hoang Anh Just, Xiangyu Chang, Xi Chen, Ruoxi Jia. 21730-21755 [doi]
• Causal Structure Learning for Latent Intervened Non-stationary DataChenxi Liu, Kun Kuang. 21756-21777 [doi]
• Structural Re-weighting Improves Graph Domain AdaptationShikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao 0002, Qiang Qiu, Pan Li. 21778-21793 [doi]
• Dink-Net: Neural Clustering on Large GraphsYue Liu 0008, Ke Liang 0006, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li. 21794-21812 [doi]
• Oscillation-free Quantization for Low-bit Vision TransformersShih-Yang Liu, Zechun Liu, Kwang-Ting Cheng. 21813-21824 [doi]
• Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic CircuitsXuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang. 21825-21838 [doi]
• Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong ConvexityRisheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang. 21839-21866 [doi]
• Graph Switching Dynamical SystemsYongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves. 21867-21883 [doi]
• High Probability Convergence of Stochastic Gradient MethodsZijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen. 21884-21914 [doi]
• OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic ModelsEnshu Liu, Xuefei Ning, Zinan Lin 0001, Huazhong Yang, Yu Wang 0002. 21915-21936 [doi]
• Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement LearningBoyin Liu, Zhiqiang Pu, Yi Pan, Jianqiang Yi, Yanyan Liang, Du Zhang. 21937-21950 [doi]
• RSC: Accelerate Graph Neural Networks Training via Randomized Sparse ComputationsZirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang 0001, Xia Hu. 21951-21968 [doi]
• Algorithms for bounding contribution for histogram estimation under user-level privacyYuhan Liu, Ananda Theertha Suresh, Wennan Zhu, Peter Kairouz, Marco Gruteser. 21969-21996 [doi]
• Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement LearningEvan Zheran Liu, Sahaana Suri, Tong Mu, Allan Zhou, Chelsea Finn. 21997-22008 [doi]
• Generating Private Synthetic Data with Genetic AlgorithmsTerrance Liu, Jingwu Tang, Giuseppe Vietri, Steven Wu 0001. 22009-22027 [doi]
• FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic PlanningSongtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu. 22028-22041 [doi]
• 2SB: Image-to-Image Schrödinger BridgeGuan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar. 22042-22062 [doi]
• What can online reinforcement learning with function approximation benefit from general coverage conditions?Fanghui Liu 0001, Luca Viano, Volkan Cevher. 22063-22091 [doi]
• TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional GenerationZhaoyan Liu, Noël Vouitsis, Satya Krishna Gorti, Jimmy Ba, Gabriel Loaiza-Ganem. 22092-22112 [doi]
• Global Optimization with Parametric Function ApproximationChong Liu, Yu-Xiang Wang. 22113-22136 [doi]
• Deja Vu: Contextual Sparsity for Efficient LLMs at Inference TimeZichang Liu, Jue Wang, Tri Dao, Tianyi Zhou 0002, Binhang Yuan, Zhao Song 0002, Anshumali Shrivastava, Ce Zhang 0001, Yuandong Tian, Christopher Ré, Beidi Chen. 22137-22176 [doi]
• Trapdoor Normalization with Irreversible Ownership VerificationHanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu. 22177-22187 [doi]
• Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language ModelsHong Liu, Sang Michael Xie, Zhiyuan Li, Tengyu Ma 0001. 22188-22214 [doi]
• Taxonomy-Structured Domain AdaptationTianyi Liu, Zihao Xu, Hao He 0011, Guang-Yuan Hao, Guang-He Lee, Hao Wang 0014. 22215-22232 [doi]
• Dropout Reduces UnderfittingZhuang Liu 0003, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell. 22233-22248 [doi]
• Revisiting Pseudo-Label for Single-Positive Multi-Label LearningBiao Liu, Ning Xu 0009, Jiaqi Lv, Xin Geng. 22249-22265 [doi]
• Retrosynthetic Planning with Dual Value NetworksGuoqing Liu, Di Xue, Shufang Xie 0003, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu. 22266-22276 [doi]
• Online Nonstochastic Control with Adversarial and Static ConstraintsXin Liu, Zixian Yang, Lei Ying. 22277-22288 [doi]
• Optimization for Amortized Inverse ProblemsTianci Liu, Tong Yang, Quan Zhang, Qi Lei. 22289-22319 [doi]
• Active Policy Improvement from Multiple Black-box OraclesXuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen 0001. 22320-22337 [doi]
• Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input SpaceWeitang Liu, Yi-Zhuang You, Ying Wai Li, Jingbo Shang. 22338-22351 [doi]
• VectorMapNet: End-to-end Vectorized HD Map LearningYicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao. 22352-22369 [doi]
• Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information SharingXiangyu Liu, Kaiqing Zhang. 22370-22419 [doi]
• Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel LearningZhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu. 22420-22453 [doi]
• D2Match: Leveraging Deep Learning and Degeneracy for Subgraph MatchingXuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang. 22454-22472 [doi]
• Image Shortcut Squeezing: Countering Perturbative Availability Poisons with CompressionZhuoran Liu 0001, Zhengyu Zhao 0001, Martha A. Larson. 22473-22487 [doi]
• Which Invariance Should We Transfer? A Causal Minimax Learning ApproachMingzhou Liu, Xiangyu Zheng, Xinwei Sun 0001, Fang Fang, Yizhou Wang 0001. 22488-22527 [doi]
• Unsupervised Out-of-Distribution Detection with Diffusion InpaintingZhenzhen Liu, Jin Peng Zhou, Yufan Wang, Kilian Q. Weinberger. 22528-22538 [doi]
• 2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-LearningZichuan Liu, Yuanyang Zhu, Chunlin Chen. 22539-22558 [doi]
• Contextual Combinatorial Bandits with Probabilistically Triggered ArmsXutong Liu 0002, Jinhang Zuo, Siwei Wang, John C. S. Lui, Mohammad Hajiesmaili, Adam Wierman, Wei Chen 0013. 22559-22593 [doi]
• Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement LearningSam Lobel, Akhil Bagaria, George Konidaris 0001. 22594-22613 [doi]
• Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing SymmetriesCharlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava. 22614-22630 [doi]
• The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V. Le, Barret Zoph, Jason Wei, Adam Roberts. 22631-22648 [doi]
• Dataset Distillation with Convexified Implicit GradientsNoel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus. 22649-22674 [doi]
• Reflected Diffusion ModelsAaron Lou, Stefano Ermon. 22675-22701 [doi]
• Never mind the metrics - what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspectiveDavid R. Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley. 22702-22757 [doi]
• Bilevel Optimization with Coupled Decision-Dependent DistributionsSongtao Lu. 22758-22789 [doi]
• Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field PerspectiveYulong Lu. 22790-22811 [doi]
• STEP: Learning N: M Structured Sparsity Masks from Scratch with PreconditionYucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh. 22812-22824 [doi]
• Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement LearningCheng Lu 0011, Huayu Chen, Jianfei Chen 0001, Hang Su 0006, Chongxuan Li, Jun Zhu. 22825-22855 [doi]
• Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning AttacksYiwei Lu, Gautam Kamath 0001, Yaoliang Yu. 22856-22879 [doi]
• QAS-Bench: Rethinking Quantum Architecture Search and A BenchmarkXudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan. 22880-22898 [doi]
• Learning Dense Correspondences between Photos and SketchesXuanchen Lu, Xiaolong Wang, Judith E. Fan. 22899-22916 [doi]
• Adversarial Cheap TalkChris Lu 0001, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster. 22917-22941 [doi]
• Federated Conformal Predictors for Distributed Uncertainty QuantificationCharles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael I. Jordan, Ramesh Raskar. 22942-22964 [doi]
• Mechanistic Mode ConnectivityEkdeep Singh Lubana, Eric J. Bigelow, Robert P. Dick, David Krueger, Hidenori Tanaka. 22965-23004 [doi]
• A Unifying Framework to the Analysis of Interaction Methods using Synergy FunctionsDaniel Lundström, Meisam Razaviyayn. 23005-23032 [doi]
• SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic SegmentationHuaishao Luo, Junwei Bao 0001, Youzheng Wu, Xiaodong He 0001, Tianrui Li 0001. 23033-23044 [doi]
• Image Restoration with Mean-Reverting Stochastic Differential EquationsZiwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön. 23045-23066 [doi]
• Dimensionality Reduction for General KDE Mode FindingXinyu Luo, Christopher Musco, Cas Widdershoven. 23067-23082 [doi]
• Iterative Approximate Cross-ValidationYuetian Luo, Zhimei Ren, Rina Barber. 23083-23102 [doi]
• A Closer Look at Few-shot Classification AgainXu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song. 23103-23123 [doi]
• HOPE: High-order Graph ODE For Modeling Interacting DynamicsXiao Luo 0001, Jingyang Yuan, Zijie Huang, HuiYu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun. 23124-23139 [doi]
• Stabilizing GANs' Training with Brownian Motion ControllerTianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu. 23140-23156 [doi]
• OCD: Learning to Overfit with Conditional Diffusion ModelsShahar Lutati, Lior Wolf. 23157-23169 [doi]
• DiscoBAX: Discovery of optimal intervention sets in genomic experiment designClare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab. 23170-23189 [doi]
• Understanding Plasticity in Neural NetworksClare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney. 23190-23211 [doi]
• Bandits with Knapsacks: Advice on Time-Varying DemandsLixing Lyu, Wang Chi Cheung. 23212-23238 [doi]
• Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad AuctionsBoxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo. 23239-23263 [doi]
• Which Tricks are Important for Learning to Rank?Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova. 23264-23278 [doi]
• Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE DynamicsPingchuan Ma 0002, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du 0001, Chuang Gan, Wojciech Matusik. 23279-23300 [doi]
• LIV: Language-Image Representations and Rewards for Robotic ControlYecheng Jason Ma, Vikash Kumar, Amy Zhang 0001, Osbert Bastani, Dinesh Jayaraman. 23301-23320 [doi]
• Graph Inductive Biases in Transformers without Message PassingLiheng Ma, Chen Lin 0003, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim. 23321-23337 [doi]
• Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise MappingBaorui Ma, Yu-Shen Liu, Zhizhong Han. 23338-23357 [doi]
• Learning Intuitive Policies Using Action FeaturesMingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster. 23358-23372 [doi]
• Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle PointsZiye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi. 23373-23387 [doi]
• Buying Information for Stochastic OptimizationMingchen Ma, Christos Tzamos. 23388-23411 [doi]
• Generated Graph DetectionYihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes 0001, Yun Shen, Yang Zhang 0016. 23412-23428 [doi]
• Calibrating Multimodal LearningHuan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu. 23429-23450 [doi]
• AutoCoreset: An Automatic Practical Coreset Construction FrameworkAlaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus. 23451-23466 [doi]
• Learning GFlowNets From Partial Episodes For Improved Convergence And StabilityKanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin. 23467-23483 [doi]
• Applied Online Algorithms with Heterogeneous PredictorsJessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li 0008, Ramesh K. Sitaraman, Zhenhua Liu 0002. 23484-23497 [doi]
• CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual RepresentationsGengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon. 23498-23515 [doi]
• Vertical Federated Graph Neural Network for Recommender SystemPeihua Mai, Yan Pang. 23516-23535 [doi]
• Can Neural Network Memorization Be Localized?Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang. 23536-23557 [doi]
• Fundamental Tradeoffs in Learning with Prior InformationAnirudha Majumdar. 23558-23573 [doi]
• Additive Causal Bandits with Unknown GraphAlan Malek, Virginia Aglietti, Silvia Chiappa. 23574-23589 [doi]
• Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure OptimalityDhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh. 23590-23609 [doi]
• A Kernel-Based View of Language Model Fine-TuningSadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora. 23610-23641 [doi]
• Performative Reinforcement LearningDebmalya Mandal, Stelios Triantafyllou, Goran Radanovic. 23642-23680 [doi]
• Differential Privacy has Bounded Impact on Fairness in ClassificationPaul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi. 23681-23705 [doi]
• Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model ChoiceYishay Mansour, Richard Nock, Robert C. Williamson. 23706-23742 [doi]
• H-Consistency Bounds for Pairwise Misranking Loss SurrogatesAnqi Mao, Mehryar Mohri, Yutao Zhong 0002. 23743-23802 [doi]
• Cross-Entropy Loss Functions: Theoretical Analysis and ApplicationsAnqi Mao, Mehryar Mohri, Yutao Zhong 0002. 23803-23828 [doi]
• Supported Trust Region Optimization for Offline Reinforcement LearningYixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji. 23829-23851 [doi]
• Robust Perception through EquivarianceChengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang 0014, Carl Vondrick. 23852-23870 [doi]
• Reliable Measures of Spread in High Dimensional Latent SpacesAnna C. Marbut, Katy McKinney-Bock, Travis J. Wheeler. 23871-23885 [doi]
• SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated LearningTanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey, Jean Ogier Du Terrail, Arthur Pignet. 23886-23914 [doi]
• Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept RehearsalEmanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso. 23915-23936 [doi]
• Evaluating Unsupervised Denoising Requires Unsupervised MetricsAdria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda. 23937-23957 [doi]
• Regions of Reliability in the Evaluation of Multivariate Probabilistic ForecastsÉtienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados. 23958-24004 [doi]
• Analyzing Diffusion as Serial ReproductionRaja Marjieh, Ilia Sucholutsky, Thomas A. Langlois, Nori Jacoby, Thomas L. Griffiths 0001. 24005-24019 [doi]
• Quantized Distributed Training of Large Models with Convergence GuaranteesIlia Markov, Adrian Vladu, Qi Guo, Dan Alistarh. 24020-24044 [doi]
• Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class ClassificationJuan Maroñas, Daniel Hernández-Lobato. 24045-24081 [doi]
• Computational Asymmetries in Robust ClassificationSamuele Marro, Michele Lombardi 0001. 24082-24138 [doi]
• Neural Network Approximations of PDEs Beyond Linearity: A Representational PerspectiveTanya Marwah, Zachary Chase Lipton, Jianfeng Lu 0001, Andrej Risteski. 24139-24172 [doi]
• Generative Pretraining for Black-Box OptimizationSatvik Mehul Mashkaria, Siddarth Krishnamoorthy, Aditya Grover. 24173-24197 [doi]
• Improved Policy Evaluation for Randomized Trials of Algorithmic Resource AllocationAditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe. 24198-24213 [doi]
• Multi-Fidelity Covariance Estimation in the Log-Euclidean GeometryAimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef M. Marzouk. 24214-24235 [doi]
• Communication-Constrained Bandits under Additive Gaussian NoisePrathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan. 24236-24250 [doi]
• Nonparametric Density Estimation under Distribution DriftAlessio Mazzetto, Eli Upfal. 24251-24270 [doi]
• PAC-Bayesian Generalization Bounds for Adversarial Generative ModelsSokhna Diarra Mbacke, Florence Clerc, Pascal Germain. 24271-24290 [doi]
• Robustness in Multimodal Learning under Train-Test Modality MismatchBrandon McKinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T. Toshev. 24291-24303 [doi]
• A Model-free Closeness-of-influence Test for Features in Supervised LearningMohammad Mehrabi, Ryan A. Rossi. 24304-24324 [doi]
• Stochastic Gradient Succeeds for BanditsJincheng Mei, Zixin Zhong, Bo Dai 0001, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans. 24325-24360 [doi]
• Normalizing Flows for Interventional Density EstimationValentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel. 24361-24397 [doi]
• Reprogramming Pretrained Language Models for Antibody Sequence InfillingIgor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das. 24398-24419 [doi]
• Superhuman FairnessOmid Memarrast, Linh Vu, Brian D. Ziebart. 24420-24435 [doi]
• A Model-Based Method for Minimizing CVaR and BeyondSi Yi Meng, Robert M. Gower. 24436-24456 [doi]
• Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot LearningYu Meng 0001, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han 0001. 24457-24477 [doi]
• On Preemption and Learning in Stochastic SchedulingNadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet. 24478-24516 [doi]
• Quantile Credit AssignmentThomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Rémi Munos. 24517-24531 [doi]
• Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev, Alexander V. Gasnikov. 24532-24554 [doi]
• Towards Theoretical Understanding of Inverse Reinforcement LearningAlberto Maria Metelli, Filippo Lazzati, Marcello Restelli. 24555-24591 [doi]
• Quantum Policy Gradient Algorithm with Optimized Action DecodingNico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann. 24592-24613 [doi]
• Training Deep Surrogate Models with Large Scale Online LearningLucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin. 24614-24630 [doi]
• MANSA: Learning Fast and Slow in Multi-Agent SystemsDavid Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang 0012, Yaodong Yang 0001. 24631-24658 [doi]
• Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RLZakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin. 24659-24700 [doi]
• Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective FunctionElissa Mhanna, Mohamad Assaad. 24701-24719 [doi]
• Learning Instance-Specific Augmentations by Capturing Local InvariancesNing Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster 0001, Hyunjik Kim. 24720-24736 [doi]
• Path Neural Networks: Expressive and Accurate Graph Neural NetworksGaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis. 24737-24755 [doi]
• Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learningThomas Miconi. 24756-24774 [doi]
• Generative Decoding of Visual StimuliEleni Miliotou, Panagiotis Kyriakis, Jason D. Hinman, Andrei Irimia, Paul Bogdan. 24775-24784 [doi]
• Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function ApproximationYifei Min, Jiafan He, Tianhao Wang 0002, Quanquan Gu. 24785-24811 [doi]
• Directed Chain Generative Adversarial NetworksMing Min, Ruimeng Hu, Tomoyuki Ichiba. 24812-24830 [doi]
• An Information-Theoretic Analysis of Nonstationary Bandit LearningSeungki Min, Daniel Russo 0001. 24831-24849 [doi]
• On the Convergence of Gradient Flow on Multi-layer Linear ModelsHancheng Min, René Vidal, Enrique Mallada. 24850-24887 [doi]
• Optimal Sets and Solution Paths of ReLU NetworksAaron Mishkin, Mert Pilanci. 24888-24924 [doi]
• The Numerical Stability of Hyperbolic Representation LearningGal Mishne, Zhengchao Wan, Yusu Wang 0001, Sheng Yang 0004. 24925-24949 [doi]
• DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvatureEric Mitchell, Yoonho Lee 0001, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn. 24950-24962 [doi]
• Diffusion Based Representation LearningSarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou. 24963-24982 [doi]
• Disentangled Multiplex Graph Representation LearningYujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu 0001. 24983-25005 [doi]
• A Unified Audio-Visual Learning Framework for Localization, Separation, and RecognitionShentong Mo, Pedro Morgado 0001. 25006-25017 [doi]
• Pruning via Sparsity-indexed ODE: a Continuous Sparsity ViewpointZhanfeng Mo, Haosen Shi, Sinno Jialin Pan. 25018-25036 [doi]
• Text-To-Concept (and Back) via Cross-Model AlignmentMazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi. 25037-25060 [doi]
• A Fast, Well-Founded Approximation to the Empirical Neural Tangent KernelMohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland. 25061-25081 [doi]
• Special Properties of Gradient Descent with Large Learning RatesAmirkeivan Mohtashami, Martin Jaggi, Sebastian U. Stich. 25082-25104 [doi]
• Neural Inverse Operators for Solving PDE Inverse ProblemsRoberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra. 25105-25139 [doi]
• Input uncertainty propagation through trained neural networksPaul Monchot, Loic Coquelin, Sébastien Julien Petit, Sébastien Marmin, Erwan Le Pennec, Nicolas Fischer. 25140-25173 [doi]
• Compressing Tabular Data via Latent Variable EstimationAndrea Montanari, Eric Weiner. 25174-25208 [doi]
• An SDE for Modeling SAM: Theory and InsightsEnea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurélien Lucchi. 25209-25253 [doi]
• Learning Deductive Reasoning from Synthetic Corpus based on Formal LogicTerufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa. 25254-25274 [doi]
• WL meet VCChristopher Morris 0001, Floris Geerts, Jan Tönshoff, Martin Grohe. 25275-25302 [doi]
• ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPsTed Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh 0001, Tom Zahavy. 25303-25336 [doi]
• Optimistic Planning by Regularized Dynamic ProgrammingAntoine Moulin, Gergely Neu. 25337-25357 [doi]
• Neural signature kernels as infinite-width-depth-limits of controlled ResNetsNicola Muca Cirone, Maud Lemercier, Cristopher Salvi. 25358-25425 [doi]
• Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood ModelsMatthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek. 25426-25443 [doi]
• PFNs4BO: In-Context Learning for Bayesian OptimizationSamuel Müller 0005, Matthias Feurer, Noah Hollmann, Frank Hutter. 25444-25470 [doi]
• Achieving High Accuracy with PINNs via Energy Natural Gradient DescentJohannes Müller, Marius Zeinhofer. 25471-25485 [doi]
• Uncertain Evidence in Probabilistic Models and Stochastic SimulatorsAndreas Munk 0001, Alexander Mead, Frank Wood. 25486-25500 [doi]
• GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion RestorationNaoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon. 25501-25522 [doi]
• DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed LearningTomoya Murata, Taiji Suzuki. 25523-25548 [doi]
• Efficiently predicting high resolution mass spectra with graph neural networksMichael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler. 25549-25562 [doi]
• Dynamical Linear BanditsMarco Mussi, Alberto Maria Metelli, Marcello Restelli. 25563-25587 [doi]
• Representation-Driven Reinforcement LearningOfir Nabati, Guy Tennenholtz, Shie Mannor. 25588-25603 [doi]
• DADAO: Decoupled Accelerated Decentralized Asynchronous OptimizationAdel Nabli, Edouard Oyallon. 25604-25626 [doi]
• Multi-User Reinforcement Learning with Low Rank RewardsDheeraj Mysore Nagaraj, Suhas S. Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain 0002. 25627-25659 [doi]
• Statistical Foundations of Prior-Data Fitted NetworksThomas Nagler. 25660-25676 [doi]
• Do Machine Learning Models Learn Statistical Rules Inferred from Data?Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong 0001. 25677-25693 [doi]
• Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive EstimationIlan Naiman, Nimrod Berman, Omri Azencot. 25694-25717 [doi]
• Effectively Using Public Data in Privacy Preserving Machine LearningMilad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr. 25718-25732 [doi]
• Counterfactual Identifiability of Bijective Causal ModelsArash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah. 25733-25754 [doi]
• Discovering Object-Centric Generalized Value Functions From PixelsSomjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou. 25755-25768 [doi]
• On Many-Actions Policy GradientMichal Nauman, Marek Cygan. 25769-25789 [doi]
• Equivariant Architectures for Learning in Deep Weight SpacesAviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron. 25790-25816 [doi]
• Scalable Multi-Agent Reinforcement Learning through Intelligent Information AggregationSiddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan 0002, Hamsa Balakrishnan. 25817-25833 [doi]
• Geometric Autoencoders - What You See is What You DecodePhilipp Nazari, Sebastian Damrich, Fred A. Hamprecht. 25834-25857 [doi]
• Action Matching: Learning Stochastic Dynamics from SamplesKirill Neklyudov, Rob Brekelmans, Daniel Severo 0001, Alireza Makhzani. 25858-25889 [doi]
• Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov ChainsBuddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh M. Halappanavar. 25890-25903 [doi]
• ClimaX: A foundation model for weather and climateTung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta, Aditya Grover. 25904-25938 [doi]
• Provable Reset-free Reinforcement Learning by No-Regret ReductionHoai An Nguyen, Ching-An Cheng. 25939-25955 [doi]
• Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci CurvatureKhang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley J. Osher, Tan Minh Nguyen. 25956-25979 [doi]
• Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization ApproachTri Nguyen, Shahana Ibrahim, Xiao Fu 0001. 25980-26007 [doi]
• Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud ReconstructionKhai Nguyen, Dang Nguyen, Nhat Ho. 26008-26030 [doi]
• Building Neural Networks on Matrix Manifolds: A Gyrovector Space ApproachXuan Son Nguyen, Shuo Yang. 26031-26062 [doi]
• Simple Disentanglement of Style and Content in Visual RepresentationsLilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin. 26063-26086 [doi]
• MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RLFei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang. 26087-26105 [doi]
• LEVER: Learning to Verify Language-to-Code Generation with ExecutionAnsong Ni, Srini Iyer 0001, Dragomir Radev, Veselin Stoyanov, Wen-tau Yih, Sida I. Wang, Xi Victoria Lin. 26106-26128 [doi]
• Continual Vision-Language Representation Learning with Off-Diagonal InformationZixuan Ni, Longhui Wei, Siliang Tang, Yueting Zhuang, Qi Tian 0001. 26129-26149 [doi]
• Attributing Image Generative Models using Latent FingerprintsGuangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren. 26150-26165 [doi]
• A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit FeedbackGuanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn. 26166-26198 [doi]
• SinFusion: Training Diffusion Models on a Single Image or VideoYaniv Nikankin, Niv Haim, Michal Irani. 26199-26214 [doi]
• SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the EdgeMahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh. 26215-26227 [doi]
• Anti-Exploration by Random Network DistillationAlexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov. 26228-26244 [doi]
• Input Perturbation Reduces Exposure Bias in Diffusion ModelsMang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara. 26245-26265 [doi]
• Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum ProblemsAtsushi Nitanda, Kazusato Oko, Denny Wu, Nobuhito Takenouchi, Taiji Suzuki. 26266-26282 [doi]
• The Statistical Scope of MulticalibrationGeorgy Noarov, Aaron Roth 0001. 26283-26310 [doi]
• Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World ModellingKolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi 0001, Hannaneh Hajishirzi, Sameer Singh 0001, Roy Fox. 26311-26325 [doi]
• Gradient-Free Structured Pruning with Unlabeled DataAzade Nova, Hanjun Dai, Dale Schuurmans. 26326-26341 [doi]
• CHiLS: Zero-Shot Image Classification with Hierarchical Label SetsZachary Novack, Julian J. McAuley, Zachary Chase Lipton, Saurabh Garg. 26342-26362 [doi]
• Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint ReductionGeorgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan V. Oseledets. 26363-26381 [doi]
• Efficient Exploration via Epistemic-Risk-Seeking Policy OptimizationBrendan O'Donoghue. 26382-26402 [doi]
• Provable Benefit of Mixup for Finding Optimal Decision BoundariesJunsoo Oh, Chulhee Yun. 26403-26450 [doi]
• Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein DistancesRuben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola. 26451-26473 [doi]
• Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual QualityGuy Ohayon, Theo Joseph Adrai, Michael Elad, Tomer Michaeli. 26474-26494 [doi]
• On the Within-Group Fairness of Screening ClassifiersNastaran Okati, Stratis Tsirtsis, Manuel Gomez-Rodriguez. 26495-26516 [doi]
• Diffusion Models are Minimax Optimal Distribution EstimatorsKazusato Oko, Shunta Akiyama, Taiji Suzuki. 26517-26582 [doi]
• How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial AccuracyRaphaël Olivier, Bhiksha Raj. 26583-26598 [doi]
• B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden ConfoundingMiruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit. 26599-26618 [doi]
• Measuring the Impact of Programming Language DistributionGabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta. 26619-26645 [doi]
• When does Privileged information Explain Away Label Noise?Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D'Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou. 26646-26669 [doi]
• Resurrecting Recurrent Neural Networks for Long SequencesAntonio Orvieto, Samuel L. Smith, Albert Gu, Anushan Fernando, Çaglar Gülçehre, Razvan Pascanu, Soham De. 26670-26698 [doi]
• Improving Adversarial Robustness Through the Contrastive-Guided Diffusion ProcessYidong Ouyang, Liyan Xie, Guang Cheng. 26699-26723 [doi]
• On the Role of Attention in Prompt-tuningSamet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis. 26724-26768 [doi]
• Revisiting the Linear-Programming Framework for Offline RL with General Function ApproximationAsuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang. 26769-26791 [doi]
• Extrapolative Controlled Sequence Generation via Iterative RefinementVishakh Padmakumar, Richard Yuanzhe Pang, He He 0001, Ankur P. Parikh. 26792-26808 [doi]
• Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!Avik Pal, Alan Edelman, Christopher Vincent Rackauckas. 26809-26819 [doi]
• Controlled Differential Equations on Long Sequences via Non-standard WaveletsSourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh. 26820-26836 [doi]
• Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli BenchmarkAlexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Hanlin Zhang, Scott Emmons, Dan Hendrycks. 26837-26867 [doi]
• Beyond Homophily: Reconstructing Structure for Graph-agnostic ClusteringErlin Pan, Zhao Kang 0001. 26868-26877 [doi]
• Better Training of GFlowNets with Local Credit and Incomplete TrajectoriesLing Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio. 26878-26890 [doi]
• A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional LayerHongyi Pan, Xin Zhu, Salih Furkan Atici, Ahmet Cetin. 26891-26903 [doi]
• Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret GuaranteesIoannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang 0036, Volkan Cevher. 26904-26930 [doi]
• Flash: Concept Drift Adaptation in Federated LearningKunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan. 26931-26962 [doi]
• Learn to Accumulate Evidence from All Training Samples: Theory and PracticeDeep Shankar Pandey, Qi Yu 0001. 26963-26989 [doi]
• Secure Federated Correlation Test and Entropy EstimationQi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song. 26990-27010 [doi]
• Task-Specific Skill Localization in Fine-tuned Language ModelsAbhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora. 27011-27033 [doi]
• Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via AmalgamationJunyoung Park, Jeongyoun Ahn, Cheolwoo Park. 27034-27047 [doi]
• Learning Affinity with Hyperbolic Representation for Spatial PropagationJin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon. 27048-27073 [doi]
• TRAK: Attributing Model Behavior at ScaleSung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry. 27074-27113 [doi]
• Test-Time Style Shifting: Handling Arbitrary Styles in Domain GeneralizationJungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon. 27114-27131 [doi]
• Towards Understanding Ensemble Distillation in Federated LearningSejun Park, Kihun Hong, Ganguk Hwang. 27132-27187 [doi]
• Learning Controllable Degradation for Real-World Super-Resolution via Constrained FlowsSeobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim 0006. 27188-27203 [doi]
• Differentially Private Sharpness-Aware TrainingJinseong Park 0001, Hoki Kim, Yujin Choi, Jaewook Lee 0001. 27204-27224 [doi]
• Controllability-Aware Unsupervised Skill DiscoverySeohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel. 27225-27245 [doi]
• Predictable MDP Abstraction for Unsupervised Model-Based RLSeohong Park, Sergey Levine. 27246-27268 [doi]
• Neural Stochastic Differential Games for Time-series AnalysisSungwoo Park, Byoungwoo Park, Moontae Lee, ChangHee Lee. 27269-27293 [doi]
• Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point IterationsJisun Park, Ernest K. Ryu. 27294-27345 [doi]
• Model-based Reinforcement Learning with Scalable Composite Policy Gradient EstimatorsPaavo Parmas, Takuma Seno, Yuma Aoki. 27346-27377 [doi]
• PAC Generalization via Invariant RepresentationsAdvait U. Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai. 27378-27400 [doi]
• Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural NetworkFarhad Pashakhanloo, Alexei Koulakov. 27401-27419 [doi]
• Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNsSaro Passaro, C. Lawrence Zitnick. 27420-27438 [doi]
• Federated Online and Bandit Convex OptimizationKumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro. 27439-27460 [doi]
• Brauer's Group Equivariant Neural NetworksEdward Pearce-Crump. 27461-27482 [doi]
• How Jellyfish Characterise Alternating Group Equivariant Neural NetworksEdward Pearce-Crump. 27483-27495 [doi]
• Can Large Language Models Reason about Program Invariants?Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin. 27496-27520 [doi]
• Dynamics-inspired Neuromorphic Visual Representation LearningZhengqi Pei, Shuhui Wang. 27521-27541 [doi]
• Feature Directions Matter: Long-Tailed Learning via Rotated Balanced RepresentationPeifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang 0001, Huiyang Shao, Qingming Huang. 27542-27563 [doi]
• Fair Neighbor EmbeddingJaakko Peltonen, Wen Xu, Timo Nummenmaa, Jyrki Nummenmaa. 27564-27584 [doi]
• The Ideal Continual Learner: An Agent That Never ForgetsLiangzu Peng, Paris Giampouras, René Vidal. 27585-27610 [doi]
• MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion GenerationXingang Peng, Jiaqi Guan, Qiang Liu 0001, Jianzhu Ma. 27611-27629 [doi]
• Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy AdaptationAndi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal. 27630-27641 [doi]
• Learning Hidden Markov Models When the Locations of Missing Observations are UnknownBinyamin Perets, Mark Kozdoba, Shie Mannor. 27642-27667 [doi]
• Estimating the Contamination Factor's Distribution in Unsupervised Anomaly DetectionLorenzo Perini, Paul-Christian Bürkner, Arto Klami. 27668-27679 [doi]
• Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear EstimationLuca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan. 27680-27708 [doi]
• Certifying Ensembles: A General Certification Theory with S-LipschitznessAleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi. 27709-27736 [doi]
• The Power of Learned Locally Linear Models for Nonlinear Policy OptimizationDaniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu. 27737-27821 [doi]
• A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDPChi Bach Pham, Wynita Griggs, James Saunderson. 27822-27839 [doi]
• Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial ObservabilityThomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle 0001, Thomas Gabor, Claudia Linnhoff-Popien. 27840-27853 [doi]
• HyperTuning: Toward Adapting Large Language Models without Back-propagationJason Phang, Yi Mao, Pengcheng He, Weizhu Chen. 27854-27875 [doi]
• Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant FrequenciesHannah Pinson, Joeri Lenaerts, Vincent Ginis. 27876-27906 [doi]
• Conformal Prediction for Federated Uncertainty Quantification Under Label ShiftVincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov. 27907-27947 [doi]
• Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse DataLena Podina, Brydon Eastman, Mohammad Kohandel. 27948-27956 [doi]
• Sequential Kernelized Independence TestingAleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas. 27957-27993 [doi]
• Truncating Trajectories in Monte Carlo Reinforcement LearningRiccardo Poiani, Alberto Maria Metelli, Marcello Restelli. 27994-28042 [doi]
• Hyena Hierarchy: Towards Larger Convolutional Language ModelsMichael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré. 28043-28078 [doi]
• Spurious Valleys and Clustering Behavior of Neural NetworksSamuele Pollaci. 28079-28099 [doi]
• Multisample Flow Matching: Straightening Flows with Minibatch CouplingsAram-Alexandre Pooladian, Heli Ben Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen. 28100-28127 [doi]
• Minimax estimation of discontinuous optimal transport maps: The semi-discrete caseAram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed. 28128-28150 [doi]
• Test-time Adaptation with Slot-Centric ModelsMihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki. 28151-28166 [doi]
• JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate ShiftDrew Prinster, Suchi Saria, Anqi Liu. 28167-28190 [doi]
• Equivariant Polynomials for Graph Neural NetworksOmri Puny, Derek Lim, Bobak Toussi Kiani, Haggai Maron, Yaron Lipman. 28191-28222 [doi]
• Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative PretrainingZekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi. 28223-28243 [doi]
• An Effective Meaningful Way to Evaluate Survival ModelsShiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner. 28244-28276 [doi]
• Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3DBo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan. 28277-28299 [doi]
• Collaborative Causal Inference with Fair IncentivesRui Qiao 0006, Xinyi Xu, Bryan Kian Hsiang Low. 28300-28320 [doi]
• FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label LearningCongyu Qiao, Ning Xu 0009, Jiaqi Lv, Yi Ren, Xin Geng. 28321-28336 [doi]
• Nugget: Neural Agglomerative Embeddings of TextGuanghui Qin, Benjamin Van Durme. 28337-28350 [doi]
• BiBench: Benchmarking and Analyzing Network BinarizationHaotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu 0002, Fisher Yu, Xianglong Liu 0001. 28351-28388 [doi]
• Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature IndividualizationZi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang 0005, Tianbao Yang. 28389-28421 [doi]
• Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture SearchXin Qiu, Risto Miikkulainen. 28422-28447 [doi]
• Simple and Fast Group Robustness by Automatic Feature ReweightingShikai Qiu, Andres Potapczynski, Pavel Izmailov, Andrew Gordon Wilson. 28448-28467 [doi]
• DRCFS: Doubly Robust Causal Feature SelectionFrancesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer. 28468-28491 [doi]
• Robust Speech Recognition via Large-Scale Weak SupervisionAlec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, Ilya Sutskever. 28492-28518 [doi]
• Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech TranslationMatthew Raffel, Drew Penney, Lizhong Chen. 28519-28530 [doi]
• Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time SeriesAniruddh Raghu, Payal Chandak, Ridwan Alam, John V. Guttag, Collin M. Stultz. 28531-28548 [doi]
• Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization FrameworkArman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi, Hamid Krim. 28549-28577 [doi]
• Algorithmic Stability of Heavy-Tailed SGD with General Loss FunctionsAnant Raj, Lingjiong Zhu, Mert Gürbüzbalaban, Umut Simsekli. 28578-28597 [doi]
• Mastering the Unsupervised Reinforcement Learning Benchmark from PixelsSai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste. 28598-28617 [doi]
• SpotEM: Efficient Video Search for Episodic MemorySanthosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman. 28618-28636 [doi]
• How much does Initialization Affect Generalization?Sameera Ramasinghe, Lachlan Ewen MacDonald, Moshiur R. Farazi, Hemanth Saratchandran, Simon Lucey. 28637-28655 [doi]
• Model Ratatouille: Recycling Diverse Models for Out-of-Distribution GeneralizationAlexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz. 28656-28679 [doi]
• A Picture of the Space of Typical Learnable TasksRahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari. 28680-28700 [doi]
• Policy Regularization with Dataset Constraint for Offline Reinforcement LearningYuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu 0001. 28701-28717 [doi]
• SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network InferenceRan Ran, Xinwei Luo, Wei Wang, Tao Liu 0023, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen. 28718-28728 [doi]
• Feature learning in deep classifiers through Intermediate Neural CollapseAkshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A. Poggio. 28729-28745 [doi]
• The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement LearningSarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan A. Murphy, Finale Doshi-Velez. 28746-28767 [doi]
• Beam Tree Recursive CellsJishnu Ray Chowdhury, Cornelia Caragea. 28768-28791 [doi]
• Monotonic Location Attention for Length GeneralizationJishnu Ray Chowdhury, Cornelia Caragea. 28792-28808 [doi]
• Automated Search for Conjectures on Mathematical Constants using Analysis of Integer SequencesOfir Razon, Yoav Harris, Shahar Gottlieb, Dan Carmon, Ofir David, Ido Kaminer. 28809-28842 [doi]
• Neural networks trained with SGD learn distributions of increasing complexityMaria Refinetti, Alessandro Ingrosso, Sebastian Goldt. 28843-28863 [doi]
• Simplex Random FeaturesIsaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov, Adrian Weller. 28864-28888 [doi]
• Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive ConceptsQihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang. 28889-28913 [doi]
• Escaping saddle points in zeroth-order optimization: the power of two-point estimatorsZhaolin Ren, Yujie Tang, Na Li 0002. 28914-28975 [doi]
• Dimension-independent Certified Neural Network Watermarks via Mollifier SmoothingJiaxiang Ren 0001, Yang Zhou 0001, Jiayin Jin, Lingjuan Lyu, Da Yan 0001. 28976-29008 [doi]
• Feature Programming for Multivariate Time Series PredictionAlex Daniel Reneau, Jerry Yao-Chieh Hu, Ammar Gilani, Han Liu. 29009-29029 [doi]
• Run-off Election: Improved Provable Defense against Data Poisoning AttacksKeivan Rezaei, Kiarash Banihashem, Atoosa Malemir Chegini, Soheil Feizi. 29030-29050 [doi]
• Learning Control-Oriented Dynamical Structure from DataSpencer M. Richards, Jean-Jacques E. Slotine, Navid Azizan, Marco Pavone 0001. 29051-29062 [doi]
• The Edge of Orthogonality: A Simple View of What Makes BYOL TickPierre Harvey Richemond, Allison C. Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill. 29063-29081 [doi]
• Multi-Agent Best Arm Identification with Private CommunicationsAlexandre Rio, Merwan Barlier, Igor Colin, Marta Soare. 29082-29102 [doi]
• A Two-Stage Active Learning Algorithm for k-Nearest NeighborsNicholas Rittler, Kamalika Chaudhuri. 29103-29129 [doi]
• Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training ToolkitYeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella. 29130-29142 [doi]
• The Role of Entropy and Reconstruction in Multi-View Self-Supervised LearningBorja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella. 29143-29160 [doi]
• RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning AgentsRafael Rodríguez-Sánchez 0002, Benjamin Adin Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris 0001. 29161-29178 [doi]
• Improving Fair Training under Correlation ShiftsYuji Roh, Kangwook Lee 0001, Steven Euijong Whang, Changho Suh. 29179-29209 [doi]
• The Statistical Benefits of Quantile Temporal-Difference Learning for Value EstimationMark Rowland, Yunhao Tang, Clare Lyle, Rémi Munos, Marc G. Bellemare, Will Dabney. 29210-29231 [doi]
• Robust Satisficing MDPsHaolin Ruan, Siyu Zhou, Zhi Chen, Chin Pang Ho. 29232-29258 [doi]
• Infinite Action Contextual Bandits with Reusable Data ExhaustMark Rucker, Yinglun Zhu, Paul Mineiro. 29259-29274 [doi]
• Function-Space Regularization in Neural Networks: A Probabilistic PerspectiveTim G. J. Rudner, Sanyam Kapoor, Shikai Qiu, Andrew Gordon Wilson. 29275-29290 [doi]
• A New PHO-rmula for Improved Performance of Semi-Structured NetworksDavid Rügamer. 29291-29305 [doi]
• Geometric Clifford Algebra NetworksDavid Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter. 29306-29337 [doi]
• Constrained Monotonic Neural NetworksDavor Runje, Sharath M. Shankaranarayana. 29338-29353 [doi]
• Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language ModelsPhillip Rust, Anders Søgaard. 29354-29387 [doi]
• Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and GraphsRaif M. Rustamov, Subhabrata Majumdar. 29388-29415 [doi]
• SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-EfficientMax Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov. 29416-29440 [doi]
• Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesChaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei 0005, Haoqi Fan 0001, Po-Yao Huang 0001, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer. 29441-29454 [doi]
• End-to-End Learning for Stochastic Optimization: A Bayesian PerspectiveYves Rychener, Daniel Kuhn, Tobias Sutter. 29455-29472 [doi]
• Sequential Monte Carlo Learning for Time Series Structure DiscoveryFeras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka 0001. 29473-29489 [doi]
• Active Ranking of Experts Based on their Performances in Many TasksEl Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier. 29490-29513 [doi]
• Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy RegimesSeyed Amir Hossein Saberi, Amir Najafi 0003, Abolfazl S. Motahari, Babak H. Khalaj. 29514-29541 [doi]
• Global Selection of Contrastive Batches via Optimization on Sample PermutationsVin Sachidananda, Ziyi Yang, Chenguang Zhu. 29542-29562 [doi]
• High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded VarianceAbdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtárik. 29563-29648 [doi]
• End-to-end Differentiable Clustering with Associative MemoriesBishwajit Saha, Dmitry Krotov, Mohammed J. Zaki, Parikshit Ram. 29649-29670 [doi]
• Learning to Suggest Breaks: Sustainable Optimization of Long-Term User EngagementEden Saig, Nir Rosenfeld. 29671-29696 [doi]
• Multi-class Graph Clustering via Approximated Effective p-ResistanceShota Saito, Mark Herbster. 29697-29733 [doi]
• Off-Policy Evaluation for Large Action Spaces via Conjunct Effect ModelingYuta Saito, Qingyang Ren, Thorsten Joachims. 29734-29759 [doi]
• ♮-Convex Function MinimizationShinsaku Sakaue, Taihei Oki. 29760-29776 [doi]
• PAC-Bayesian Offline Contextual Bandits With GuaranteesOtmane Sakhi, Pierre Alquier, Nicolas Chopin. 29777-29799 [doi]
• Provably and Practically Efficient Neural Contextual BanditsSudeep Salgia. 29800-29844 [doi]
• Distributed Linear Bandits under Communication ConstraintsSudeep Salgia, Qing Zhao 0001. 29845-29875 [doi]
• Optimizing Hyperparameters with Conformal Quantile RegressionDavid Salinas, Jacek Golebiowski, Aaron Klein, Matthias W. Seeger, Cédric Archambeau. 29876-29893 [doi]
• Raising the Cost of Malicious AI-Powered Image EditingHadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry. 29894-29918 [doi]
• Fast, Differentiable and Sparse Top-k: a Convex Analysis PerspectiveMichael Eli Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel. 29919-29936 [doi]
• TAN Without a Burn: Scaling Laws of DP-SGDTom Sander, Pierre Stock, Alexandre Sablayrolles. 29937-29949 [doi]
• Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture ModelsParth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer, Abir De. 29950-29970 [doi]
• Whose Opinions Do Language Models Reflect?Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto. 29971-30004 [doi]
• Streaming Active Learning with Deep Neural NetworksAkanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford 0001, Jordan T. Ash. 30005-30021 [doi]
• Random Teachers are Good TeachersFelix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann. 30022-30041 [doi]
• Posterior Sampling for Deep Reinforcement LearningRemo Sasso, Michelangelo Conserva, Paulo E. Rauber. 30042-30061 [doi]
• Graph Neural Networks can Recover the Hidden Features Solely from the Graph StructureRyoma Sato. 30062-30079 [doi]
• Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update RuleNaoki Sato, Hideaki Iiduka. 30080-30104 [doi]
• StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image SynthesisAxel Sauer, Tero Karras, Samuli Laine, Andreas Geiger 0001, Timo Aila. 30105-30118 [doi]
• Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing CorrectionAndrey V. Savchenko. 30119-30129 [doi]
• Off-Policy Average Reward Actor-Critic with Deterministic Policy SearchNaman Saxena, Subhojyoti Khastagir, Shishir Kolathaya, Shalabh Bhatnagar. 30130-30203 [doi]
• Gibbsian Polar Slice SamplingPhilip Schär, Michael Habeck, Daniel Rudolf. 30204-30223 [doi]
• Identifiability and Generalizability in Constrained Inverse Reinforcement LearningAndreas Schlaginhaufen, Maryam Kamgarpour. 30224-30251 [doi]
• Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural NetworksDominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel. 30252-30284 [doi]
• Deterministic equivalent and error universality of deep random features learningDominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro. 30285-30320 [doi]
• The Acquisition of Physical Knowledge in Generative Neural NetworksLuca M. Schulze Buschoff, Eric Schulz, Marcel Binz. 30321-30341 [doi]
• Modality-Agnostic Variational Compression of Implicit Neural RepresentationsJonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin. 30342-30364 [doi]
• Bigger, Better, Faster: Human-level Atari with human-level efficiencyMax Schwarzer, Johan Samir Obando-Ceron, Aaron C. Courville, Marc G. Bellemare, Rishabh Agarwal, Pablo Samuel Castro. 30365-30380 [doi]
• Dissecting the Effects of SGD Noise in Distinct Regimes of Deep LearningAntonio Sclocchi, Mario Geiger, Matthieu Wyart. 30381-30405 [doi]
• A Fast Optimistic Method for Monotone Variational InequalitiesMichael Sedlmayer, Dang Khoa Nguyen, Radu Ioan Bot. 30406-30438 [doi]
• Double-Weighting for Covariate Shift AdaptationJosé Ignacio Segovia-Martín, Santiago Mazuelas, Anqi Liu. 30439-30457 [doi]
• Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human LanguagePhilipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer. 30458-30490 [doi]
• Variational Autoencoding Neural OperatorsJacob H. Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris. 30491-30522 [doi]
• Neural Markov Jump ProcessesPatrick Seifner, Ramsés J. Sánchez. 30523-30552 [doi]
• Bayesian online change point detection with Hilbert space approximate Student-t processJeremy Sellier, Petros Dellaportas. 30553-30569 [doi]
• Incentivizing Exploration with Linear Contexts and Combinatorial ActionsMark Sellke. 30570-30583 [doi]
• Explainability as statistical inferenceHugo Henri Joseph Sénétaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei. 30584-30612 [doi]
• Multi-View Masked World Models for Visual Robotic ManipulationYounggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel. 30613-30632 [doi]
• One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back CodingDaniel Severo 0001, James Townsend, Ashish J. Khisti, Alireza Makhzani. 30633-30645 [doi]
• ModelDiff: A Framework for Comparing Learning AlgorithmsHarshay Shah, Sung Min Park, Andrew Ilyas, Aleksander Madry. 30646-30688 [doi]
• Auxiliary Learning as an Asymmetric Bargaining GameAviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya. 30689-30705 [doi]
• Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language ModelsZhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen. 30706-30775 [doi]
• Complementary Attention for Multi-Agent Reinforcement LearningJianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji. 30776-30793 [doi]
• Regularization-free Diffeomorphic Temporal Alignment NetsRon Shapira Weber, Oren Freifeld. 30794-30826 [doi]
• Toward Efficient Gradient-Based Value EstimationArsalan Sharifnassab, Richard S. Sutton. 30827-30849 [doi]
• Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesLouis Sharrock, Christopher Nemeth. 30850-30882 [doi]
• On Kinetic Optimal Probability Paths for Generative ModelsNeta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman. 30883-30907 [doi]
• Sequential Changepoint Detection via Backward Confidence SequencesShubhanshu Shekhar, Aaditya Ramdas. 30908-30930 [doi]
• Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient EstimatorAlexander Shekhovtsov. 30931-30955 [doi]
• Towards Understanding and Improving GFlowNet TrainingMax W. Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, KyungHyun Cho, Tommaso Biancalani. 30956-30975 [doi]
• On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain AdaptationMaohao Shen, Yuheng Bu, Gregory W. Wornell. 30976-30991 [doi]
• On Penalty-based Bilevel Gradient Descent MethodHan Shen, Tianyi Chen. 30992-31015 [doi]
• Non-autoregressive Conditional Diffusion Models for Time Series PredictionLifeng Shen, James T. Kwok. 31016-31029 [doi]
• Cross-Modal Fine-Tuning: Align then RefineJunhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar. 31030-31056 [doi]
• Auxiliary Modality Learning with Generalized Curriculum DistillationYu Shen, Xijun Wang 0002, Peng Gao, Ming Lin. 31057-31076 [doi]
• TGRL: An Algorithm for Teacher Guided Reinforcement LearningIdan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal. 31077-31093 [doi]
• FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUYing Sheng 0007, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang. 31094-31116 [doi]
• Improved Regret for Efficient Online Reinforcement Learning with Linear Function ApproximationUri Sherman, Tomer Koren, Yishay Mansour. 31117-31150 [doi]
• Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient MethodsAleksandr Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli. 31151-31209 [doi]
• Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou. 31210-31227 [doi]
• Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For RetrievalHui Shi, Yupeng Gu, Yitong Zhou, Bo Zhao 0001, Sicun Gao, Jishen Zhao. 31228-31242 [doi]
• A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard ConstraintsMing Shi, Yingbin Liang, Ness B. Shroff. 31243-31268 [doi]
• Improving the Model Consistency of Decentralized Federated LearningYifan Shi, Li Shen 0008, Kang Wei, Yan Sun, Bo Yuan 0003, Xueqian Wang 0001, Dacheng Tao. 31269-31291 [doi]
• UPop: Unified and Progressive Pruning for Compressing Vision-Language TransformersDachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang. 31292-31311 [doi]
• Sequence Modeling with Multiresolution Convolutional MemoryJiaxin Shi, Ke Alexander Wang, Emily B. Fox. 31312-31327 [doi]
• Statistical Inference on Multi-armed Bandits with Delayed FeedbackLei Shi, Jingshen Wang, Tianhao Wu. 31328-31352 [doi]
• Provably Efficient Offline Reinforcement Learning with Perturbed Data SourcesChengshuai Shi, Wei Xiong 0015, Cong Shen 0001, Jing Yang. 31353-31388 [doi]
• On the Complexity of Bayesian GeneralizationYu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He 0001, Joshua B. Tenenbaum, Song Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu. 31389-31407 [doi]
• Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport PerspectiveLiangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan. 31408-31421 [doi]
• Long Horizon Temperature ScalingAndy Shih, Dorsa Sadigh, Stefano Ermon. 31422-31434 [doi]
• Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach SpaceAlistair Shilton, Sunil Gupta 0001, Santu Rana, Svetha Venkatesh. 31435-31488 [doi]
• SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement LearningDongseok Shim, Seungjae Lee, H. Jin Kim. 31489-31503 [doi]
• A Closer Look at the Intervention Procedure of Concept Bottleneck ModelsSungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee. 31504-31520 [doi]
• MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech EnhancementWooSeok Shin, Byung-Hoon Lee, Jin Sob Kim, Hyun-Joon Park, Sung Won Han. 31521-31538 [doi]
• Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive AnalysisYongho Shin, Changyeol Lee, Gukryeol Lee, Hyung-Chan An. 31539-31561 [doi]
• One-shot Imitation in a Non-Stationary Environment via Multi-Modal SkillSangwoo Shin, Daehee Lee, Minjong Yoo, Woo Kyung Kim, Honguk Woo. 31562-31578 [doi]
• Context Consistency Regularization for Label Sparsity in Time SeriesYooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee 0001, Byung Suk Lee 0001. 31579-31595 [doi]
• Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingShayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley 0001. 31596-31612 [doi]
• Exphormer: Sparse Transformers for GraphsHamed Shirzad, Ameya Velingker, Balaji Venkatachalam, Danica J. Sutherland, Ali Kemal Sinop. 31613-31632 [doi]
• Synthetic data for model selectionAlon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Matan Fintz, Gérard G. Medioni. 31633-31656 [doi]
• Probabilistic Attention-to-Influence Neural Models for Event SequencesXiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P. Bennett. 31657-31674 [doi]
• Causal Bounds in Quasi-Markovian GraphsMadhumitha Shridharan, Garud Iyengar. 31675-31692 [doi]
• Repository-Level Prompt Generation for Large Language Models of CodeDisha Shrivastava, Hugo Larochelle, Daniel Tarlow. 31693-31715 [doi]
• CLIPood: Generalizing CLIP to Out-of-DistributionsYang Shu, Xingzhuo Guo, Jialong Wu 0001, Ximei Wang, Jianmin Wang 0001, Mingsheng Long. 31716-31731 [doi]
• Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing FlowsPhillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov. 31732-31753 [doi]
• Unearthing InSights into Mars: Unsupervised Source Separation with Limited DataAli Siahkoohi, Rudy Morel, Maarten V. De Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura. 31754-31772 [doi]
• Quantitative Universal Approximation Bounds for Deep Belief NetworksJulian Sieber, Johann Gehringer. 31773-31787 [doi]
• Pricing Experimental Design: Causal Effect, Expected Revenue and Tail RiskDavid Simchi-Levi, Chonghuan Wang. 31788-31799 [doi]
• Statistical Learning under Heterogenous Distribution ShiftMax Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy. 31800-31851 [doi]
• On the Stepwise Nature of Self-Supervised LearningJames B. Simon, Maksis Knutins, Ziyin Liu, Daniel Geisz, Abraham J. Fetterman, Joshua Albrecht. 31852-31876 [doi]
• Hindsight Learning for MDPs with Exogenous InputsSean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo De Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan. 31877-31914 [doi]
• Text-To-4D Dynamic Scene GenerationUriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson 0001, Yaniv Taigman. 31915-31929 [doi]
• The Hessian perspective into the Nature of Convolutional Neural NetworksSidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf. 31930-31968 [doi]
• When do Minimax-fair Learning and Empirical Risk Minimization Coincide?Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell 0001. 31969-31989 [doi]
• Differentiable Simulations for Enhanced Sampling of Rare EventsMartin Sípka, Johannes C. B. Dietschreit, Lukás Grajciar, Rafael Gómez-Bombarelli. 31990-32007 [doi]
• Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning SystemsChawin Sitawarin, Florian Tramèr, Nicholas Carlini. 32008-32032 [doi]
• Invariance in Policy Optimisation and Partial Identifiability in Reward LearningJoar Max Viktor Skalse, Matthew Farrugia-Roberts, Stuart Russell 0001, Alessandro Abate, Adam Gleave. 32033-32058 [doi]
• A Game-Theoretic Framework for Managing Risk in Multi-Agent SystemsOliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang 0001, Jun Wang 0012. 32059-32087 [doi]
• On the Effectiveness of Offline RL for Dialogue Response GenerationPaloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q. Weinberger, Ryan Mcdonald. 32088-32104 [doi]
• Fair Densities via Boosting the Sufficient Statistics of Exponential FamiliesAlexander Soen, Hisham Husain, Richard Nock. 32105-32144 [doi]
• The Dormant Neuron Phenomenon in Deep Reinforcement LearningGhada Sokar, Rishabh Agarwal, Pablo Samuel Castro, Utku Evci. 32145-32168 [doi]
• Abstracting Imperfect Information Away from Two-Player Zero-Sum GamesSamuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu 0002, J. Zico Kolter, Noam Brown. 32169-32193 [doi]
• Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial OptimizationJiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park. 32194-32210 [doi]
• Consistency ModelsYang Song, Prafulla Dhariwal, Mark Chen 0003, Ilya Sutskever. 32211-32252 [doi]
• LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal ControlXujie Song, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, Xiaoming Simon Wang. 32253-32272 [doi]
• Deep Perturbation Learning: Enhancing the Network Performance via Image PerturbationsZifan Song, Xiao Gong, Guosheng Hu, Cairong Zhao. 32273-32287 [doi]
• Latent Traversals in Generative Models as Potential FlowsYue Song, T. Anderson Keller, Nicu Sebe, Max Welling. 32288-32303 [doi]
• FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural NetworksBingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong. 32304-32330 [doi]
• RGE: A Repulsive Graph Rectification for Node Classification via InfluenceJaeyun Song, Sungyub Kim, Eunho Yang. 32331-32348 [doi]
• Importance Weighted Expectation-Maximization for Protein Sequence DesignZhenqiao Song, Lei Li 0005. 32349-32364 [doi]
• Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and VulnerabilityZhao Song 0002, Yitan Wang, Zheng Yu, Lichen Zhang 0003. 32365-32417 [doi]
• Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection MaintenanceZhao Song 0002, Xin Yang 0019, Yuanyuan Yang 0005, Lichen Zhang 0003. 32418-32462 [doi]
• ∞ GuaranteeZhao Song 0002, Mingquan Ye, Junze Yin, Lichen Zhang 0003. 32463-32482 [doi]
• Loss-Guided Diffusion Models for Plug-and-Play Controllable GenerationJiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu 0001, Jan Kautz, Yongxin Chen, Arash Vahdat. 32483-32498 [doi]
• Differentiable Tree Operations Promote Compositional GeneralizationPaul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao. 32499-32520 [doi]
• Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanismAude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei. 32521-32539 [doi]
• Linear Causal Disentanglement via InterventionsChandler Squires, Anna Seigal, Salil S. Bhate, Caroline Uhler. 32540-32560 [doi]
• Generating Language Corrections for Teaching Physical Control TasksMegha Srivastava, Noah D. Goodman, Dorsa Sadigh. 32561-32574 [doi]
• FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric KernelsGuillaume Staerman, Cédric Allain, Alexandre Gramfort, Thomas Moreau 0001. 32575-32597 [doi]
• Partial Optimality in Cubic Correlation ClusteringDavid Stein, Silvia Di Gregorio, Bjoern Andres. 32598-32617 [doi]
• MODeL: Memory Optimizations for Deep LearningBenoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty. 32618-32632 [doi]
• Improving Expert Predictions with Conformal PredictionEleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez-Rodriguez. 32633-32653 [doi]
• Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural TransducersGrant P. Strimel, Yi Xie, Brian John King, Martin Radfar, Ariya Rastrow, Athanasios Mouchtaris. 32654-32676 [doi]
• Kernel QuantTreeDiego Stucchi, Paolo Rizzo, Nicolò Folloni, Giacomo Boracchi. 32677-32697 [doi]
• Topologically Faithful Image Segmentation via Induced Matching of Persistence BarcodesNico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern H. Menze, Ulrich Bauer. 32698-32727 [doi]
• Towards Robust Graph Incremental Learning on Evolving GraphsJunwei Su, Difan Zou, Zijun Zhang, Chuan Wu 0001. 32728-32748 [doi]
• DUET: 2D Structured and Approximately Equivariant RepresentationsXavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang 0001, Jason Ramapuram, Dan Busbridge, Luca Zappella. 32749-32769 [doi]
• Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth LabelsMin-Kook Suh, Seung-Woo Seo. 32770-32782 [doi]
• Adversarial Learning of Distributional Reinforcement LearningYang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou 0003. 32783-32796 [doi]
• Distilling Internet-Scale Vision-Language Models into Embodied AgentsTheodore Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta 0001. 32797-32818 [doi]
• Vector-Valued Control VariatesZhuo Sun, Alessandro Barp, François-Xavier Briol. 32819-32846 [doi]
• MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer TasksWenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek. 32847-32858 [doi]
• Revisiting Sampling for Combinatorial OptimizationHaoran Sun, Katayoon Goshvadi, Azade Nova, Dale Schuurmans, Hanjun Dai. 32859-32874 [doi]
• What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph EmbeddingsZequn Sun, JiaCheng Huang, XiaoZhou Xu, Qijin Chen, Weijun Ren, Wei Hu 0007. 32875-32885 [doi]
• Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear ProgrammingChunlin Sun, Shang Liu, Xiaocheng Li. 32886-32912 [doi]
• Tensor Gaussian Process with Contraction for Multi-Channel Imaging AnalysisHu Sun, Ward Manchester, Meng Jin, Yang Liu, Yang Chen. 32913-32935 [doi]
• MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of BehaviorJennifer J. Sun, Markus Marks, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E. Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy. 32936-32990 [doi]
• Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth LandscapeYan Sun, Li Shen, Shixiang Chen, Liang Ding 0006, Dacheng Tao. 32991-33013 [doi]
• When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral AnalysisYiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li 0001. 33014-33043 [doi]
• Learning Prescriptive ReLU NetworksWei Sun, Asterios Tsiourvas. 33044-33060 [doi]
• All in a Row: Compressed Convolution Networks for GraphsJunshu Sun, Shuhui Wang, Xinzhe Han, Zhe Xue, Qingming Huang. 33061-33076 [doi]
• Momentum Ensures Convergence of SIGNSGD under Weaker AssumptionsTao Sun, Qingsong Wang, Dongsheng Li 0001, Bao Wang. 33077-33099 [doi]
• A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven PurificationJiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao. 33100-33114 [doi]
• SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image TranslationShikun Sun, Longhui Wei, Junliang Xing, Jia Jia 0001, Qi Tian 0001. 33115-33134 [doi]
• A Neural PDE Solver with Temporal Stencil ModelingZhiqing Sun, Yiming Yang, Shinjae Yoo. 33135-33155 [doi]
• Feature Expansion for Graph Neural NetworksJiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang. 33156-33176 [doi]
• Model-Bellman Inconsistency for Model-based Offline Reinforcement LearningYihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, Yang Yu. 33177-33194 [doi]
• Inflow, Outflow, and Reciprocity in Machine LearningMukund Sundararajan, Walid Krichene. 33195-33208 [doi]
• When Personalization Harms Performance: Reconsidering the Use of Group Attributes in PredictionVinith Menon Suriyakumar, Marzyeh Ghassemi, Berk Ustun. 33209-33228 [doi]
• Tuning Computer Vision Models With Task RewardsAndré Susano Pinto, Alexander Kolesnikov 0003, Yuge Shi, Lucas Beyer, Xiaohua Zhai. 33229-33239 [doi]
• Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-CriticWesley A. Suttle, Amrit S. Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha. 33240-33267 [doi]
• Tight and fast generalization error bound of graph embedding in metric spaceAtsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang 0023, Feng Tian 0006, Kenji Yamanishi. 33268-33284 [doi]
• Proximal Causal Learning of Conditional Average Treatment EffectsErik Sverdrup, Yifan Cui 0001. 33285-33298 [doi]
• Inverse Reinforcement Learning without Reinforcement LearningGokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Zhiwei Steven Wu. 33299-33318 [doi]
• Von Mises Mixture Distributions for Molecular Conformation GenerationKirk Swanson, Jake Lawrence Williams, Eric M. Jonas. 33319-33342 [doi]
• Optimal randomized multilevel Monte Carlo for repeatedly nested expectationsYasa Syed, Guanyang Wang. 33343-33364 [doi]
• Adaptive Coordination in Social Embodied RearrangementAndrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai. 33365-33380 [doi]
• MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition MethodsAli Taghibakhshi, Nicolas Nytko, Tareq-Uz-Zaman, Scott P. MacLachlan, Luke N. Olson, Matthew West 0001. 33381-33395 [doi]
• Learning Mixtures of Gaussians with Censored DataWai Ming Tai, Bryon Aragam. 33396-33415 [doi]
• Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional InputShokichi Takakura, Taiji Suzuki. 33416-33447 [doi]
• Learning Neural PDE Solvers with Parameter-Guided Channel AttentionMakoto Takamoto, Francesco Alesiani, Mathias Niepert. 33448-33467 [doi]
• Contextual Conservative Interleaving BanditsKei Takemura. 33468-33489 [doi]
• Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret BoundsShion Takeno, Yu Inatsu, Masayuki Karasuyama. 33490-33515 [doi]
• Towards Practical Preferential Bayesian Optimization with Skew Gaussian ProcessesShion Takeno, Masahiro Nomura, Masayuki Karasuyama. 33516-33533 [doi]
• Robust Explanation for Free or At the Cost of FaithfulnessZeren Tan, Yang Tian. 33534-33562 [doi]
• Provably Invariant Learning without Domain InformationXiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi. 33563-33580 [doi]
• Auto-Differentiation of Relational Computations for Very Large Scale Machine LearningYuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine. 33581-33598 [doi]
• Regret-Minimizing Double Oracle for Extensive-Form GamesXiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang 0001. 33599-33615 [doi]
• From Perception to Programs: Regularize, Overparameterize, and AmortizeHao Tang 0008, Kevin Ellis. 33616-33631 [doi]
• Understanding Self-Predictive Learning for Reinforcement LearningYunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Ávila Pires, Yash Chandak, Rémi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György 0001, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko. 33632-33656 [doi]
• DoMo-AC: Doubly Multi-step Off-policy Actor-Critic AlgorithmYunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Rémi Munos, Bernardo Ávila Pires, Michal Valko. 33657-33673 [doi]
• Towards Understanding Generalization of Graph Neural NetworksHuayi Tang, Yong Liu. 33674-33719 [doi]
• Towards a better understanding of representation dynamics under TD-learningYunhao Tang, Rémi Munos. 33720-33738 [doi]
• VA-learning as a more efficient alternative to Q-learningYunhao Tang, Rémi Munos, Mark Rowland, Michal Valko. 33739-33757 [doi]
• Defects of Convolutional Decoder Networks in Frequency RepresentationLing Tang, Wen Shen 0002, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang. 33758-33791 [doi]
• Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured ConfoundingCaizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou. 33792-33803 [doi]
• End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode InitializationShohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo. 33804-33815 [doi]
• POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained ModelsKorawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou. 33816-33832 [doi]
• Dual Focal Loss for CalibrationLinwei Tao, Minjing Dong, Chang Xu 0002. 33833-33849 [doi]
• Abstract-to-Executable Trajectory Translation for One-Shot Task GeneralizationStone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su 0001. 33850-33882 [doi]
• Data Feedback Loops: Model-driven Amplification of Dataset BiasesRohan Taori, Tatsunori Hashimoto. 33883-33920 [doi]
• Deep Regression UnlearningAyush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal, Mohan S. Kankanhalli. 33921-33939 [doi]
• How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk ControlJacopo Teneggi, Matthew Tivnan, J. Webster Stayman, Jeremias Sulam. 33940-33960 [doi]
• Concurrent Shuffle Differential Privacy Under Continual ObservationJay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer. 33961-33982 [doi]
• Finding Generalization Measures by Contrasting Signal and NoiseJiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan. 33983-34010 [doi]
• Reinforcement Learning with History Dependent Dynamic ContextsGuy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier. 34011-34053 [doi]
• PWSHAP: A Path-Wise Explanation Model for Targeted VariablesLucile Ter-Minassian, Oscar Clivio, Karla DiazOrdaz, Robin J. Evans, Christopher C. Holmes. 34054-34089 [doi]
• On the Estimation of Gaussian Mixture Copula ModelsAshutosh Tewari. 34090-34104 [doi]
• Target-Aware Generative Augmentations for Single-Shot AdaptationKowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan. 34105-34119 [doi]
• ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric ModelsQinglong Tian, Xin Zhang, Jiwei Zhao. 34120-34142 [doi]
• Spherical Inducing Features for Orthogonally-Decoupled Gaussian ProcessesLouis C. Tiao, Vincent Dutordoir, Victor Picheny. 34143-34160 [doi]
• Fast Rates for Maximum Entropy ExplorationDaniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Rémi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Ménard. 34161-34221 [doi]
• Margin-based sampling in high dimensions: When being active is less efficient than staying passiveAlexandru Tifrea, Jacob Clarysse, Fanny Yang. 34222-34262 [doi]
• Differentiable Multi-Target Causal Bayesian Experimental DesignPanagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster 0001, Stefan Bauer. 34263-34279 [doi]
• PCA-based Multi-Task Learning: a Random Matrix ApproachMalik Tiomoko, Romain Couillet, Frédéric Pascal 0001. 34280-34300 [doi]
• Perturbation Analysis of Neural CollapseTom Tirer, Haoxiang Huang, Jonathan Niles-Weed. 34301-34329 [doi]
• Overcoming Simplicity Bias in Deep Networks using a Feature SieveRishabh Tiwari, Pradeep Shenoy. 34330-34343 [doi]
• Beyond In-Domain Scenarios: Robust Density-Aware CalibrationChristian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers. 34344-34368 [doi]
• Distribution Free Domain GeneralizationPeifeng Tong, Wu Su, He Li, Jialin Ding, Zhan Haoxiang, Song Xi Chen. 34369-34378 [doi]
• Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast AlgorithmsFrancesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan A. K. Suykens. 34379-34393 [doi]
• Robust Weak Supervision with Variational Auto-EncodersFrancesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai. 34394-34408 [doi]
• Fully Bayesian Autoencoders with Latent Sparse Gaussian ProcessesBa-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone. 34409-34430 [doi]
• Discrete Key-Value BottleneckFrederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf. 34431-34455 [doi]
• Mimetic Initialization of Self-Attention LayersAsher Trockman, J. Zico Kolter. 34456-34468 [doi]
• Representer Point Selection for Explaining Regularized High-dimensional ModelsChe-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar. 34469-34490 [doi]
• Expected Gradients of Maxout Networks and Consequences to Parameter InitializationHanna Tseran, Guido Montúfar. 34491-34532 [doi]
• Provable Data Subset Selection For Efficient Neural Networks TrainingMurad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman. 34533-34555 [doi]
• Jump-Start Reinforcement LearningIkechukwu Uchendu, Ted Xiao, Yao Lu 0006, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman. 34556-34583 [doi]
• Submodular Order Functions and Assortment OptimizationRajan Udwani. 34584-34614 [doi]
• Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional EmbeddingsMasatoshi Uehara, Ayush Sekhari, Jason D. Lee, Nathan Kallus, Wen Sun 0002. 34615-34641 [doi]
• From Adaptive Query Release to Machine UnlearningEnayat Ullah, Raman Arora. 34642-34667 [doi]
• Private Federated Learning with Autotuned CompressionEnayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh. 34668-34708 [doi]
• The Monge Gap: A Regularizer to Learn All Transport MapsThéo Uscidda, Marco Cuturi. 34709-34733 [doi]
• Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithmAdrien Vacher, François-Xavier Vialard. 34734-34758 [doi]
• Random Grid Neural Processes for Parametric Partial Differential EquationsArnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou, Fehmi Cirak, Mark Girolami, Ömer Deniz Akyildiz. 34759-34778 [doi]
• Delayed Feedback in Kernel BanditsSattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke. 34779-34792 [doi]
• Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic DataBoris van Breugel, Zhaozhi Qian, Mihaela van der Schaar. 34793-34808 [doi]
• Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic ExpertsDirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi. 34809-34830 [doi]
• Causal Isotonic Calibration for Heterogeneous Treatment EffectsLars van der Laan, Ernesto Ulloa-Pérez, Marco Carone, Alex Luedtke. 34831-34854 [doi]
• Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over TimeToon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar. 34855-34874 [doi]
• Best Arm Identification in Multi-Agent Multi-Armed BanditsFilippo Vannella, Alexandre Proutière, Jaeseong Jeong. 34875-34907 [doi]
• Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction ModelsHarshit Varma, Abhijeet Awasthi, Sunita Sarawagi. 34908-34923 [doi]
• Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored HypergraphsNate Veldt. 34924-34951 [doi]
• Fast (1+ε)-Approximation Algorithms for Binary Matrix FactorizationAmeya Velingker, Maximilian Vötsch, David P. Woodruff, Samson Zhou. 34952-34977 [doi]
• The Virtues of Laziness in Model-based RL: A Unified Objective and AlgorithmsAnirudh Vemula, Yuda Song 0001, Aarti Singh, Drew Bagnell, Sanjiban Choudhury. 34978-35005 [doi]
• Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer GraphsSara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco. 35006-35023 [doi]
• Multi-Environment Pretraining Enables Transfer to Action Limited DatasetsDavid Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum. 35024-35036 [doi]
• AbODE: Ab initio antibody design using conjoined ODEsYogesh Verma, Markus Heinonen, Vikas Garg. 35037-35050 [doi]
• TabLeak: Tabular Data Leakage in Federated LearningMark Vero, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin T. Vechev. 35051-35083 [doi]
• Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-SinglePaul Vicol. 35084-35119 [doi]
• Arithmetic Sampling: Parallel Diverse Decoding for Large Language ModelsLuke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Tachard Passos, Sumit Sanghai. 35120-35136 [doi]
• Eventual Discounting Temporal Logic Counterfactual Experience ReplayCameron Voloshin, Abhinav Verma 0001, Yisong Yue. 35137-35150 [doi]
• Transformers Learn In-Context by Gradient DescentJohannes von Oswald, Eyvind Niklasson, Ettore Randazzo, João Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, Max Vladymyrov. 35151-35174 [doi]
• Topological Singularity Detection at Multiple ScalesJulius von Rohrscheidt, Bastian Rieck. 35175-35197 [doi]
• Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box ConstraintsVáclav Vorácek, Matthias Hein 0001. 35198-35222 [doi]
• Vector Quantized Wasserstein Auto-EncoderLong Tung Vuong, Trung Le, He Zhao 0001, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai 0001, Dinh Q. Phung. 35223-35242 [doi]
• Competitive Gradient OptimizationAbhijeet Vyas 0001, Brian Bullins, Kamyar Azizzadenesheli. 35243-35276 [doi]
• On Provable Copyright Protection for Generative ModelsNikhil Vyas 0001, Sham M. Kakade, Boaz Barak. 35277-35299 [doi]
• Leveraging Offline Data in Online Reinforcement LearningAndrew Wagenmaker, Aldo Pacchiano. 35300-35338 [doi]
• Fast Private Kernel Density Estimation via Locality Sensitive QuantizationTal Wagner, Yonatan Naamad, Nina Mishra. 35339-35367 [doi]
• Investigating the Role of Model-Based Learning in Exploration and TransferJacob C. Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B. Hamrick. 35368-35383 [doi]
• UPSCALE: Unconstrained Channel PruningAlvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan. 35384-35412 [doi]
• Poisoning Language Models During Instruction TuningAlexander Wan, Eric Wallace, Sheng Shen, Dan Klein. 35413-35425 [doi]
• SeMAIL: Eliminating Distractors in Visual Imitation via Separated ModelsShenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan. 35426-35443 [doi]
• Multiplier Bootstrap-based ExplorationRunzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song 0006. 35444-35490 [doi]
• Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular BanditsZongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun 0001, Zhijie Zhang. 35491-35524 [doi]
• Tight Regret Bounds for Single-pass Streaming Multi-armed BanditsChen Wang. 35525-35547 [doi]
• Improved Active Multi-Task Representation Learning via LassoYiping Wang, Yifang Chen, Kevin Jamieson 0001, Simon Shaolei Du. 35548-35578 [doi]
• Tilted Sparse Additive ModelsYingjie Wang 0007, Hong Chen 0004, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao. 35579-35604 [doi]
• From Hypergraph Energy Functions to Hypergraph Neural NetworksYuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf. 35605-35623 [doi]
• A Closer Look at Self-Supervised Lightweight Vision TransformersShaoru Wang, Jin Gao, Zeming Li, Xiaoqin Zhang 0002, Weiming Hu. 35624-35641 [doi]
• PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture SearchHaibin Wang, Ce Ge, Hesen Chen, Xiuyu Sun. 35642-35654 [doi]
• Adversarial Policies Beat Superhuman Go AIsTony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell 0001. 35655-35739 [doi]
• On Regularization and Inference with Label ConstraintsKaifu Wang, Hangfeng He 0001, Tin D. Nguyen, Piyush Kumar, Dan Roth. 35740-35762 [doi]
• Policy Gradient in Robust MDPs with Global Convergence GuaranteeQiuhao Wang, Chin Pang Ho, Marek Petrik. 35763-35797 [doi]
• Adaptive Smoothing Gradient Learning for Spiking Neural NetworksZiming Wang, Runhao Jiang, Shuang Lian, Rui Yan 0005, Huajin Tang. 35798-35816 [doi]
• CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif ModelingYansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li 0002. 35817-35835 [doi]
• Generalized Polyak Step Size for First Order Optimization with MomentumXiaoyu Wang, Mikael Johansson 0001, Tong Zhang. 35836-35863 [doi]
• Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaRKaiwen Wang, Nathan Kallus, Wen Sun 0002. 35864-35907 [doi]
• FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter OptimizationZhen Wang, Weirui Kuang, Ce Zhang 0001, Bolin Ding, Yaliang Li. 35908-35948 [doi]
• A/B Testing in Network Data with Covariate-Adaptive RandomizationJialu Wang, Ping Li 0001, Feifang Hu. 35949-35969 [doi]
• Learning Belief Representations for Partially Observable Deep RLAndrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith. 35970-35988 [doi]
• Warm-Start Actor-Critic: From Approximation Error to Sub-optimality GapHang Wang, Sen Lin, Junshan Zhang. 35989-36019 [doi]
• Slot-VAE: Object-Centric Scene Generation with Slot AttentionYanbo Wang, Letao Liu, Justin Dauwels. 36020-36035 [doi]
• DIVISION: Memory Efficient Training via Dual Activation PrecisionGuanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu. 36036-36057 [doi]
• CocktailSGD: Fine-tuning Foundation Models over 500Mbps NetworksJue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Ré, Ce Zhang. 36058-36076 [doi]
• Magneto: A Foundation TransformerHongyu Wang 0009, Shuming Ma, Shaohan Huang, Li Dong 0004, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei. 36077-36092 [doi]
• Direct Parameterization of Lipschitz-Bounded Deep NetworksRuigang Wang, Ian R. Manchester. 36093-36110 [doi]
• Tighter Information-Theoretic Generalization Bounds from SupersamplesZiqiao Wang, Yongyi Mao. 36111-36137 [doi]
• NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationJianfeng Wang, Daniela Massiceti, Xiaolin Hu 0001, Vladimir Pavlovic 0001, Thomas Lukasiewicz. 36138-36156 [doi]
• GC-Flow: A Graph-Based Flow Network for Effective ClusteringTianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang 0001, Jie Chen. 36157-36173 [doi]
• Curriculum Co-disentangled Representation Learning across Multiple Environments for Social RecommendationXin Wang 0019, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu 0001. 36174-36192 [doi]
• Data Efficient Neural Scaling Law via Model ReusingPeihao Wang, Rameswar Panda, Zhangyang Wang. 36193-36204 [doi]
• Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern DiscoveryDingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu 0001. 36205-36223 [doi]
• Active Learning based Structural InferenceAoran Wang, Jun Pang 0001. 36224-36245 [doi]
• Better Diffusion Models Further Improve Adversarial TrainingZekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu 0003, Shuicheng Yan. 36246-36263 [doi]
• Polarity Is All You Need to Learn and Transfer FasterQingyang Wang 0002, Michael Alan Powell, Eric W. Bridgeford, Ali Geisa, Joshua T. Vogelstein. 36264-36284 [doi]
• Projected Tensor Power Method for Hypergraph Community RecoveryJinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang 0098, Anthony Man-Cho So. 36285-36307 [doi]
• Estimating Possible Causal Effects with Latent Variables via AdjustmentTian-Zuo Wang, Tian Qin, Zhi-Hua Zhou. 36308-36335 [doi]
• InfoDiffusion: Representation Learning Using Information Maximizing Diffusion ModelsYingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang 0001, Christopher De Sa, Volodymyr Kuleshov. 36336-36354 [doi]
• A Robust Test for the Stationarity Assumption in Sequential Decision MakingJitao Wang, Chengchun Shi, Zhenke Wu. 36355-36379 [doi]
• GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning ModelsHanjing Wang, Man-Kit Sit, Congjie He, Ying Wen 0001, Weinan Zhang 0001, Jun Wang, Yaodong Yang 0001, Luo Mai. 36380-36390 [doi]
• Effective and Efficient Structural Inference with Reservoir ComputingAoran Wang, Tsz Pan Tong, Jun Pang 0001. 36391-36410 [doi]
• Optimal Goal-Reaching Reinforcement Learning via Quasimetric LearningTongzhou Wang 0001, Antonio Torralba 0001, Phillip Isola, Amy Zhang. 36411-36430 [doi]
• Model-Free Robust Average-Reward Reinforcement LearningYue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou. 36431-36469 [doi]
• Live in the Moment: Learning Dynamics Model Adapted to Evolving PolicyXiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang. 36470-36493 [doi]
• Learning to Bid in Repeated First-Price Auctions with BudgetsQian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong. 36494-36513 [doi]
• Network Effects in Performative Prediction GamesXiaolu Wang, Chung-Yiu Yau, Hoi-To Wai. 36514-36540 [doi]
• Robustly Learning a Single Neuron via SharpnessPuqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas. 36541-36577 [doi]
• DualHSIC: HSIC-Bottleneck and Alignment for Continual LearningZifeng Wang 0002, Zheng Zhan 0001, Yifan Gong 0004, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy. 36578-36592 [doi]
• Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic EnvironmentsYixuan Wang 0001, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang 0015, Qi Zhu 0002. 36593-36604 [doi]
• LinSATNet: The Positive Linear Satisfiability Neural NetworksRunzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan. 36605-36625 [doi]
• Offline Meta Reinforcement Learning with In-Distribution Online AdaptationJianhao Wang, Jin Zhang 0016, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang. 36626-36669 [doi]
• Reachability-Aware Laplacian Representation in Reinforcement LearningKaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang. 36670-36693 [doi]
• PPG Reloaded: An Empirical Study on What Matters in Phasic Policy GradientKaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor. 36694-36713 [doi]
• On Heterogeneous Treatment Effects in Heterogeneous Causal GraphsRichard A. Watson, Hengrui Cai, Xinming An, Samuel A. McLean, Rui Song 0006. 36714-36747 [doi]
• Nonparametric Extensions of Randomized Response for Private Confidence SetsIan Waudby-Smith, Zhiwei Steven Wu, Aaditya Ramdas. 36748-36789 [doi]
• Global optimality for Euclidean CCCP under Riemannian convexityMelanie Weber 0001, Suvrit Sra. 36790-36803 [doi]
• A Universal Unbiased Method for Classification from Aggregate ObservationsZixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu 0001, Xiaofeng Zhu 0001, Heng Tao Shen. 36804-36820 [doi]
• NTK-approximating MLP Fusion for Efficient Language Model Fine-tuningTianxin Wei, Zeming Guo, Yifan Chen, Jingrui He. 36821-36838 [doi]
• Boosting Graph Contrastive Learning via Graph Contrastive SaliencyChunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, Lu Fang. 36839-36855 [doi]
• Set-membership Belief State-based Reinforcement Learning for POMDPsWei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang. 36856-36867 [doi]
• Mitigating Memorization of Noisy Labels by Clipping the Model PredictionHongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu 0001, Bo An 0001, Yixuan Li. 36868-36886 [doi]
• Graphically Structured Diffusion ModelsChristian Dietrich Weilbach, William Harvey 0002, Frank Wood. 36887-36909 [doi]
• Expectation-Complete Graph Representations with HomomorphismsPascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner 0001. 36910-36925 [doi]
• A Conditional Normalizing Flow for Accelerated Multi-Coil MR ImagingJeffrey Wen, Rizwan Ahmad, Philip Schniter. 36926-36939 [doi]
• Optimizing Mode Connectivity for Class Incremental LearningHaitao Wen, Haoyang Cheng, Heqian Qiu, Lanxiao Wang, Lili Pan 0001, Hongliang Li 0001. 36940-36957 [doi]
• Towards Learning Geometric Eigen-Lengths Crucial for Fitting TasksYijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang 0001, Leonidas J. Guibas. 36958-36977 [doi]
• Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight OptimizationZejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang. 36978-36989 [doi]
• Fully-Adaptive Composition in Differential PrivacyJustin Whitehouse, Aaditya Ramdas, Ryan Rogers 0002, Steven Wu 0001. 36990-37007 [doi]
• Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient ApproximationJeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee 0001, Sung Ju Hwang. 37008-37041 [doi]
• Flexible Phase Dynamics for Bio-Plausible Contrastive LearningEzekiel Williams, Colin Bredenberg, Guillaume Lajoie. 37042-37065 [doi]
• Approximate Stein Classes for Truncated Density EstimationDaniel James Williams, Song Liu. 37066-37090 [doi]
• Theoretical Behavior of XAI Methods in the Presence of Suppressor VariablesRick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe. 37091-37107 [doi]
• Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse RepresentationsDavid Wipf. 37108-37132 [doi]
• Uncertainty Estimation for Molecules: Desiderata and MethodsTom Wollschläger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Günnemann. 37133-37156 [doi]
• The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and BeyondJiin Woo, Gauri Joshi, Yuejie Chi. 37157-37216 [doi]
• Learning Deep Time-index Models for Time Series ForecastingGerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi. 37217-37237 [doi]
• p Sensitivity SamplingDavid P. Woodruff, Taisuke Yasuda 0002. 37238-37272 [doi]
• Two Losses Are Better Than One: Faster Optimization Using a Cheaper ProxyBlake E. Woodworth, Konstantin Mishchenko, Francis R. Bach. 37273-37292 [doi]
• SEGA: Structural Entropy Guided Anchor View for Graph Contrastive LearningJunran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu 0001. 37293-37312 [doi]
• Causal Proxy Models for Concept-based Model ExplanationsZhengxuan Wu, Karel D'Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts. 37313-37334 [doi]
• Effective Neural Topic Modeling with Embedding Clustering RegularizationXiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu. 37335-37357 [doi]
• Adaptive Compositional Continual Meta-LearningBin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang 0026. 37358-37378 [doi]
• Anchor Sampling for Federated Learning with Partial Client ParticipationFeijie Wu, Song Guo 0001, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao 0004. 37379-37416 [doi]
• Solving High-Dimensional PDEs with Latent Spectral ModelsHaixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long. 37417-37438 [doi]
• A Law of Robustness beyond IsoperimetryYihan Wu, Heng Huang, Hongyang Zhang 0001. 37439-37455 [doi]
• Uncovering Adversarial Risks of Test-Time AdaptationTong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal. 37456-37495 [doi]
• Stable Estimation of Heterogeneous Treatment EffectsAnpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li 0064, Fei Wu 0001. 37496-37510 [doi]
• Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph MatchingFang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li. 37511-37523 [doi]
• Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure CasesXiaoxia Wu, Cheng Li 0001, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He. 37524-37539 [doi]
• Towards Understanding Generalization of Macro-AUC in Multi-label LearningGuoqiang Wu, Chongxuan Li, Yilong Yin. 37540-37570 [doi]
• Quantifying the Knowledge in GNNs for Reliable Distillation into MLPsLirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li. 37571-37581 [doi]
• Delay-agnostic Asynchronous Coordinate Update AlgorithmXuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson 0001. 37582-37606 [doi]
• Masked Trajectory Models for Prediction, Representation, and ControlPhilipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran. 37607-37623 [doi]
• Disentangled Multi-Fidelity Deep Bayesian Active LearningDongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu. 37624-37634 [doi]
• Tight Data Access Bounds for Private Top-k SelectionHao Wu 0057, Olga Ohrimenko, Anthony Wirth. 37635-37655 [doi]
• The Implicit Regularization of Dynamical Stability in Stochastic Gradient DescentLei Wu, Weijie J. Su. 37656-37684 [doi]
• Distributional Offline Policy Evaluation with Predictive Error GuaranteesRunzhe Wu, Masatoshi Uehara, Wen Sun 0002. 37685-37712 [doi]
• π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task InterpolationChengyue Wu, Teng Wang, Yixiao Ge, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo. 37713-37727 [doi]
• Learning Functional Distributions with Private LabelsChanglong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski. 37728-37744 [doi]
• QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum AlgorithmsWenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan. 37745-37764 [doi]
• Discover and Cure: Concept-aware Mitigation of Spurious CorrelationShirley Wu, Mert Yüksekgönül, Linjun Zhang, James Zou 0001. 37765-37786 [doi]
• On the Training Instability of Shuffling SGD with Batch NormalizationDavid Xing Wu, Chulhee Yun, Suvrit Sra. 37787-37845 [doi]
• dugMatting: Decomposed-Uncertainty-Guided MattingJiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng 0001, Joey Tianyi Zhou. 37846-37859 [doi]
• Personalized Federated Learning under Mixture of DistributionsYue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou 0003, Haifeng Chen, Wei Cheng 0002. 37860-37879 [doi]
• Differentially Private Episodic Reinforcement Learning with Heavy-tailed RewardsYulian Wu, Xingyu Zhou 0001, Sayak Ray Chowdhury, Di Wang 0015. 37880-37918 [doi]
• Finite-Sample Analysis of Learning High-Dimensional Single ReLU NeuronJingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade. 37919-37951 [doi]
• Understanding Backdoor Attacks through the Adaptability HypothesisXun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding 0002. 37952-37976 [doi]
• Fair and Optimal Classification via Post-ProcessingRuicheng Xian, Lang Yin, Han Zhao 0002. 37977-38012 [doi]
• UMD: Unsupervised Model Detection for X2X Backdoor AttacksZhen Xiang, Zidi Xiong, Bo Li. 38013-38038 [doi]
• Random Shuffle Transformer for Image RestorationJie Xiao 0002, Xueyang Fu, Man Zhou, Hongjian Liu, Zheng-Jun Zha. 38039-38058 [doi]
• Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative DifferentiationPeiyao Xiao, Kaiyi Ji. 38059-38086 [doi]
• SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language ModelsGuangxuan Xiao, Ji Lin, Mickaël Seznec, Hao Wu, Julien Demouth, Song Han. 38087-38099 [doi]
• On the Forward Invariance of Neural ODEsWei Xiao 0003, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus. 38100-38124 [doi]
• COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision ModelsJinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan 0001. 38125-38136 [doi]
• Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study TechniquesPengtao Xie. 38137-38186 [doi]
• Future-conditioned Unsupervised Pretraining for Decision TransformerZhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li. 38187-38203 [doi]
• DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution ModelsLiangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong. 38204-38226 [doi]
• Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision ProcessesChuhan Xie, Wenhao Yang, Zhihua Zhang. 38227-38257 [doi]
• A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment MisalignmentHanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein 0001, Wael AbdAlmageed. 38258-38271 [doi]
• Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback RectificationDong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An 0001, Gang Pan 0001. 38272-38285 [doi]
• Universal Morphology Control via Contextual ModulationZheng Xiong, Jacob Beck, Shimon Whiteson. 38286-38300 [doi]
• Relevant Walk Search for Explaining Graph Neural NetworksPing Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima. 38301-38324 [doi]
• Why do Nearest Neighbor Language Models Work?Frank F. Xu, Uri Alon 0002, Graham Neubig. 38325-38341 [doi]
• MixFlows: principled variational inference via mixed flowsZuheng Xu, Naitong Chen, Trevor Campbell. 38342-38376 [doi]
• Bit Allocation using OptimizationTongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye 0001, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang. 38377-38399 [doi]
• Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty EquivalentsWenhao Xu, Xuefeng Gao, Xuedong He. 38400-38427 [doi]
• Probabilistic Categorical Adversarial Attack and Adversarial TrainingHan Xu 0002, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu 0001, Hui Liu, Jiliang Tang. 38428-38442 [doi]
• Hierarchical Neural Coding for Controllable CAD Model GenerationXiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D. D. Willis, Yasutaka Furukawa. 38443-38461 [doi]
• Efficient Sequence Transduction by Jointly Predicting Tokens and DurationsHainan Xu, Fei Jia, Somshubra Majumdar, He Huang, Shinji Watanabe 0001, Boris Ginsburg. 38462-38484 [doi]
• Constrained Efficient Global Optimization of Expensive Black-box FunctionsWenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones. 38485-38498 [doi]
• Pareto Regret Analyses in Multi-objective Multi-armed BanditMengfan Xu, Diego Klabjan. 38499-38517 [doi]
• Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior InferenceYan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu. 38518-38534 [doi]
• Quantifying the Variability Collapse of Neural NetworksJing Xu, Haoxiong Liu. 38535-38550 [doi]
• Progressive Purification for Instance-Dependent Partial Label LearningNing Xu 0009, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng. 38551-38565 [doi]
• PFGM++: Unlocking the Potential of Physics-Inspired Generative ModelsYilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi S. Jaakkola. 38566-38591 [doi]
• Geometric Latent Diffusion Models for 3D Molecule GenerationMinkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec. 38592-38610 [doi]
• The Power of Preconditioning in Overparameterized Low-Rank Matrix SensingXingyu Xu 0001, Yandi Shen, Yuejie Chi, Cong Ma. 38611-38654 [doi]
• Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale LearningHongzuo Xu, Yijie Wang 0001, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu. 38655-38673 [doi]
• Competing for Shareable Arms in Multi-Player Multi-Armed BanditsRenzhe Xu, Haotian Wang 0001, Xingxuan Zhang, Bo Li, Peng Cui 0001. 38674-38706 [doi]
• Sequential Predictive Conformal Inference for Time SeriesChen Xu, Yao Xie. 38707-38727 [doi]
• mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and VideoHaiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang 0004, Jingren Zhou. 38728-38748 [doi]
• ProtST: Multi-Modality Learning of Protein Sequences and Biomedical TextsMinghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang 0005. 38749-38767 [doi]
• Bayesian Design Principles for Frequentist Sequential LearningYunbei Xu, Assaf Zeevi. 38768-38800 [doi]
• SLAMB: Accelerated Large Batch Training with Sparse CommunicationHang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis. 38801-38825 [doi]
• Do Not Train It: A Linear Neural Architecture Search of Graph Neural NetworksPeng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu. 38826-38847 [doi]
• An Instrumental Variable Approach to Confounded Off-Policy EvaluationYang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song. 38848-38880 [doi]
• Near-Optimal Quantum Coreset Construction Algorithms for ClusteringYecheng Xue, Xiaoyu Chen, Tongyang Li, Shaofeng H.-C. Jiang. 38881-38912 [doi]
• A Study on Transformer Configuration and Training ObjectiveFuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang 0002, Yang You 0001. 38913-38925 [doi]
• LazyGNN: Large-Scale Graph Neural Networks via Lazy PropagationRui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu. 38926-38937 [doi]
• Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature SuppressionYihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman. 38938-38970 [doi]
• Adaptive Computation with Elastic Input SequenceFuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani 0001, Yang You 0001. 38971-38988 [doi]
• Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RLTaku Yamagata, Ahmed Khalil, Raúl Santos-Rodríguez. 38989-39007 [doi]
• Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum ComputationHayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda. 39008-39034 [doi]
• Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous DataYonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu. 39035-39061 [doi]
• Temporally Consistent Transformers for Video GenerationWilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel. 39062-39098 [doi]
• Distortion and Uncertainty Aware Loss for Panoramic Depth CompletionZhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang. 39099-39109 [doi]
• Self-Interpretable Time Series Prediction with Counterfactual ExplanationsJingquan Yan, Hao Wang 0014. 39110-39125 [doi]
• Quantum 3D Graph Learning with Applications to Molecule EmbeddingGe Yan, Huaijin Wu, Junchi Yan. 39126-39137 [doi]
• Fast Rates in Time-Varying Strongly Monotone GamesYu-Hu Yan, Peng Zhao 0006, Zhi-Hua Zhou. 39138-39164 [doi]
• Proper Scoring Rules for Survival AnalysisHiroki Yanagisawa. 39165-39182 [doi]
• Behavior Contrastive Learning for Unsupervised Skill DiscoveryRushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu 0008, Xuelong Li 0001. 39183-39204 [doi]
• Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based FeedbackJunwen Yang, Yifan Feng. 39205-39233 [doi]
• Towards Better Graph Representation Learning with Parameterized Decomposition & FilteringMingqi Yang, Wenjie Feng 0001, Yanming Shen, Bryan Hooi. 39234-39251 [doi]
• Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical GuaranteesShenghao Yang 0002, Kimon Fountoulakis. 39252-39276 [doi]
• Chemically Transferable Generative Backmapping of Coarse-Grained ProteinsSoojung Yang, Rafael Gómez-Bombarelli. 39277-39298 [doi]
• Data Poisoning Attacks Against Multimodal EncodersZiqing Yang 0002, Xinlei He, Zheng Li, Michael Backes 0001, Mathias Humbert, Pascal Berrang, Yang Zhang. 39299-39313 [doi]
• Towards Sustainable Learning: Coresets for Data-efficient Deep LearningYu Yang 0007, Hao Kang, Baharan Mirzasoleiman. 39314-39330 [doi]
• Improving Adversarial Robustness by Putting More Regularizations on Less Robust SamplesDongyoon Yang, Insung Kong, Yongdai Kim. 39331-39348 [doi]
• Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural DynamicsZonghan Yang, Peng Li 0030, Tianyu Pang, Yang Liu 0005. 39349-39364 [doi]
• Mitigating Spurious Correlations in Multi-modal Models during Fine-tuningYu Yang 0007, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman. 39365-39379 [doi]
• A theory of representation learning gives a deep generalisation of kernel methodsAdam X. Yang, Maxime Robeyns, Edward Milsom, Ben Anson, Nandi Schoots, Laurence Aitchison. 39380-39415 [doi]
• Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant CorrelationJoonhyuk Yang, Dongpil Shin, Hye Won Chung. 39416-39452 [doi]
• Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural RepresentationsYongyi Yang, Jacob Steinhardt, Wei Hu. 39453-39487 [doi]
• Generative Adversarial Symmetry DiscoveryJianke Yang, Robin Walters, Nima Dehmamy, Rose Yu. 39488-39508 [doi]
• Boosting Offline Reinforcement Learning with Action Preference QueryQisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang. 39509-39523 [doi]
• Towards Controlled Data Augmentations for Active LearningJianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao. 39524-39542 [doi]
• What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu 0006, Chongjie Zhang, Tong Zhang 0001. 39543-39571 [doi]
• Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence TestsLingxiao Yang, Hongzhi You, Zonglei Zhen, Dahui Wang, Xiaohong Wan, Xiaohua Xie, Ru-Yuan Zhang. 39572-39583 [doi]
• Change is Hard: A Closer Look at Subpopulation ShiftYuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi. 39584-39622 [doi]
• Continual Task Allocation in Meta-Policy Network via Sparse PromptingYijun Yang, Tianyi Zhou 0001, Jing Jiang 0002, Guodong Long, Yuhui Shi. 39623-39638 [doi]
• Hyperbolic Representation Learning: Revisiting and AdvancingMenglin Yang 0001, Min Zhou 0006, Rex Ying, Yankai Chen 0001, Irwin King. 39639-39659 [doi]
• Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu. 39660-39673 [doi]
• How Bad is Top-K Recommendation under Competing Content Creators?Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu. 39674-39701 [doi]
• MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural NetworksJiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su 0006, Jun Zhu. 39702-39721 [doi]
• Policy Mirror Ascent for Efficient and Independent Learning in Mean Field GamesBatuhan Yardim, Semih Cayci, Matthieu Geist, Niao He. 39722-39754 [doi]
• Retrieval-Augmented Multimodal Language ModelingMichihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James 0001, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih. 39755-39769 [doi]
• On the Power of Pre-training for Generalization in RL: Provable Benefits and HardnessHaotian Ye, Xiaoyu Chen, Liwei Wang 0001, Simon Shaolei Du. 39770-39800 [doi]
• Personalized Federated Learning with Inferred Collaboration GraphsRui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang. 39801-39817 [doi]
• Compositional Exemplars for In-context LearningJiacheng Ye, Zhiyong Wu 0001, JiangTao Feng, Tao Yu 0009, Lingpeng Kong. 39818-39833 [doi]
• Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision ProcessesChenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang. 39834-39863 [doi]
• GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer ProgrammingHuigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang. 39864-39878 [doi]
• FedDisco: Federated Learning with Discrepancy-Aware CollaborationRui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang. 39879-39902 [doi]
• Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP SolverXinyu Ye, Ge Yan, Junchi Yan. 39903-39912 [doi]
• Temporal Label Smoothing for Early Event PredictionHugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova. 39913-39938 [doi]
• From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent ConfoundersRaanan Y. Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik. 39939-39950 [doi]
• Doubly Adversarial Federated BanditsJialin Yi, Milan Vojnovic. 39951-39967 [doi]
• Online Prototype Alignment for Few-shot Policy TransferQi Yi, Rui Zhang 0040, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen. 39968-39983 [doi]
• MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient FlowsMingxuan Yi, Zhanxing Zhu, Song Liu. 39984-40000 [doi]
• SE(3) diffusion model with application to protein backbone generationJason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi S. Jaakkola. 40001-40039 [doi]
• CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph ClassificationNan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua 0001, Xiao Luo 0001. 40040-40053 [doi]
• Adaptive Estimation of Graphical Models under Total PositivityJiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar. 40054-40074 [doi]
• Improving Visual Prompt Tuning for Self-supervised Vision TransformersSeungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon. 40075-40092 [doi]
• End-to-End Multi-Object Detection with a Regularized Mixture ModelJaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak. 40093-40110 [doi]
• EM-Network: Oracle Guided Self-distillation for Sequence LearningJi Won Yoon, SungHwan Ahn, Hyeonseung Lee, Minchan Kim, Seok Min Kim, Nam Soo Kim. 40111-40128 [doi]
• Continual Learners are Incremental Model GeneralizersJaehong Yoon, Sung Ju Hwang, Yue Cao. 40129-40146 [doi]
• An Investigation into Pre-Training Object-Centric Representations for Reinforcement LearningJaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn. 40147-40174 [doi]
• Graph Generative Model for Benchmarking Graph Neural NetworksMinji Yoon, Yue Wu 0001, John Palowitch, Bryan Perozzi, Russ Salakhutdinov. 40175-40198 [doi]
• Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent KernelsXuchen You, Shouvanik Chakrabarti, Boyang Chen, Xiaodi Wu. 40199-40224 [doi]
• Entropy-driven Unsupervised Keypoint Representation Learning in VideosAli Younes, Simone Schaub-Meyer, Georgia Chalvatzaki. 40225-40253 [doi]
• The Benefits of Model-Based Generalization in Reinforcement LearningKenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber. 40254-40276 [doi]
• COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware DefectsAnlan Yu, Ning Lyu, Jieming Yin, Zhiyuan Yan, Wujie Wen. 40277-40289 [doi]
• Delving into Noisy Label Detection with Clean DataChenglin Yu, Xinsong Ma, Weiwei Liu 0003. 40290-40305 [doi]
• Bag of Tricks for Training Data Extraction from Language ModelsWeichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan. 40306-40320 [doi]
• Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active LearningDayou Yu, Weishi Shi, Qi Yu 0001. 40321-40338 [doi]
• Long-Term Rhythmic Video SoundtrackerJiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao 0006. 40339-40353 [doi]
• Adversarial Parameter Attack on Deep Neural NetworksLijia Yu, Yihan Wang, Xiao-Shan Gao. 40354-40372 [doi]
• CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language ModelsZhiyuan Yu, Yuhao Wu, Ning Zhang 0017, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao. 40373-40389 [doi]
• SeedGNN: Graph Neural Network for Supervised Seeded Graph MatchingLiren Yu, Jiaming Xu, Xiaojun Lin 0001. 40390-40411 [doi]
• Efficient and Equivariant Graph Networks for Predicting Quantum HamiltonianHaiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji. 40412-40424 [doi]
• On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk MeasuresXian Yu, Lei Ying. 40425-40451 [doi]
• Actor-Critic Alignment for Offline-to-Online Reinforcement LearningZishun Yu, Xinhua Zhang. 40452-40474 [doi]
• Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular LearningZhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin. 40475-40487 [doi]
• Coordinate Descent Methods for Fractional MinimizationGanzhao Yuan. 40488-40518 [doi]
• On the Power of Foundation ModelsYang Yuan. 40519-40530 [doi]
• Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement LearningMingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng. 40531-40554 [doi]
• Traversing Between Modes in Function Space for Fast EnsemblingEunggu Yun, Hyungi Lee, Giung Nam, Juho Lee 0001. 40555-40577 [doi]
• Conformal Prediction with Missing ValuesMargaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano. 40578-40604 [doi]
• KDEformer: Accelerating Transformers via Kernel Density EstimationAmir Zandieh, Insu Han, Majid Daliri, Amin Karbasi. 40605-40623 [doi]
• Bayesian Estimation of Differential PrivacySantiago Zanella Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones. 40624-40636 [doi]
• When is Realizability Sufficient for Off-Policy Reinforcement Learning?Andrea Zanette. 40637-40668 [doi]
• On Distribution Dependent Sub-Logarithmic Query Time of Learned IndexingSepanta Zeighami, Cyrus Shahabi. 40669-40680 [doi]
• Sequential Counterfactual Risk MinimizationHoussam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard. 40681-40706 [doi]
• LookupFFN: Making Transformers Compute-lite for CPU inferenceZhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh. 40707-40718 [doi]
• Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty NoiseShiwei Zeng, Jie Shen 0005. 40719-40748 [doi]
• Generative Graph Dictionary LearningZhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong. 40749-40769 [doi]
• Stabilizing Transformer Training by Preventing Attention Entropy CollapseShuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang 0002, Jiatao Gu, Joshua M. Susskind. 40770-40803 [doi]
• Offline Learning in Markov Games with General Function ApproximationYuheng Zhang, Yu Bai, Nan Jiang. 40804-40829 [doi]
• Learning useful representations for shifting tasks and distributionsJianyu Zhang, Léon Bottou. 40830-40850 [doi]
• Nonparametric Iterative Machine TeachingChen Zhang, Xiaofeng Cao 0002, Weiyang Liu, Ivor W. Tsang, James T. Kwok. 40851-40870 [doi]
• Matrix Estimation for Individual FairnessCindy Y. Zhang, Sarah Huiyi Cen, Devavrat Shah. 40871-40887 [doi]
• Graph Contrastive Backdoor AttacksHangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu. 40888-40910 [doi]
• Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical TheoriesZixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao. 40911-40931 [doi]
• Tractable Control for Autoregressive Language GenerationHonghua Zhang, Meihua Dang, Nanyun Peng, Guy Van den Broeck. 40932-40945 [doi]
• CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network DataYuhua Zhang, Walter H. Dempsey. 40946-40975 [doi]
• Rethink DARTS Search Space and Renovate a New BenchmarkJiuling Zhang, Zhiming Ding. 40976-40995 [doi]
• Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret MinimizationBrian Hu Zhang, Gabriele Farina, Tuomas Sandholm. 40996-41018 [doi]
• A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman TestsBohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang. 41019-41077 [doi]
• Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-ResolutionRuofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang. 41078-41091 [doi]
• Prompting Large Language Model for Machine Translation: A Case StudyBiao Zhang 0006, Barry Haddow, Alexandra Birch. 41092-41110 [doi]
• On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual BanditsWeitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu. 41111-41132 [doi]
• When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced RepresentationsChunhui Zhang, Chao Huang, Yijun Tian 0001, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye 0001, Chuxu Zhang. 41133-41150 [doi]
• Spatial-Temporal Graph Learning with Adversarial Contrastive AdaptationQianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang 0046, Siu-Ming Yiu, Ruihua Han. 41151-41163 [doi]
• Towards Coherent Image Inpainting Using Denoising Diffusion Implicit ModelsGuanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi S. Jaakkola, Shiyu Chang. 41164-41193 [doi]
• CAB: Comprehensive Attention Benchmarking on Long Sequence ModelingJun Zhang, Shuyang Jiang, JiangTao Feng, Lin Zheng, Lingpeng Kong. 41194-41218 [doi]
• Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact DynamicsShenao Zhang, Wanxin Jin, Zhaoran Wang. 41219-41243 [doi]
• One-Step Estimator for Permuted Sparse RecoveryHang Zhang, Ping Li 0001. 41244-41267 [doi]
• Quantum Lower Bounds for Finding Stationary Points of Nonconvex FunctionsChenyi Zhang, Tongyang Li. 41268-41299 [doi]
• Improving Medical Predictions by Irregular Multimodal Electronic Health Records ModelingXinlu Zhang, Shiyang Li, ZhiYu Chen, Xifeng Yan, Linda Ruth Petzold. 41300-41313 [doi]
• FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information RegularizationHao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong. 41314-41330 [doi]
• On the Optimality of Misspecified Kernel Ridge RegressionHaobo Zhang, Yicheng Li, Weihao Lu, Qian Lin. 41331-41353 [doi]
• Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance ReductionJianyi Zhang, Ang Li 0005, Minxue Tang, Jingwei Sun 0002, Xiang Chen 0010, Fan Zhang, Changyou Chen, Yiran Chen 0001, Hai Li 0001. 41354-41381 [doi]
• Learning Subpocket Prototypes for Generalizable Structure-based Drug DesignZaixi Zhang, Qi Liu 0003. 41382-41398 [doi]
• No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server ComputationFeilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji. 41399-41413 [doi]
• The Wisdom of Hindsight Makes Language Models Better Instruction FollowersTianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez. 41414-41428 [doi]
• Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation ScoreShuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han 0003, Mingkui Tan. 41429-41451 [doi]
• On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU NetworkShijun Zhang, Jianfeng Lu 0001, HongKai Zhao. 41452-41487 [doi]
• Bi-directional Masks for Efficient N: M Sparse TrainingYuxin Zhang 0002, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao 0001, Rongrong Ji. 41488-41497 [doi]
• Towards Unbiased Training in Federated Open-world Semi-supervised LearningJie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu 0001. 41498-41509 [doi]
• Interactive Object Placement with Reinforcement LearningShengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong, Xiaopeng Fan, Rongrong Ji. 41510-41522 [doi]
• Optimal Shrinkage for Distributed Second-Order OptimizationFangzhao Zhang, Mert Pilanci. 41523-41549 [doi]
• "Why did the Model Fail?": Attributing Model Performance Changes to Distribution ShiftsHaoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi. 41550-41578 [doi]
• Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set EstimationFengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen 0001. 41579-41595 [doi]
• A Category-theoretical Meta-analysis of Definitions of DisentanglementYivan Zhang, Masashi Sugiyama. 41596-41612 [doi]
• On the Convergence of SARSA with Linear Function ApproximationShangtong Zhang, Remi Tachet des Combes, Romain Laroche. 41613-41646 [doi]
• AdaNPC: Exploring Non-Parametric Classifier for Test-Time AdaptationYifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang 0001, Liang Wang 0001, Rong Jin 0001, Tieniu Tan. 41647-41676 [doi]
• On the Generalization of Multi-modal Contrastive LearningQi Zhang, Yifei Wang, Yisen Wang 0001. 41677-41693 [doi]
• ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System PredictionWang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen. 41694-41714 [doi]
• Towards Trustworthy Explanation: On Causal RationalizationWenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai. 41715-41736 [doi]
• Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural NetworksHe Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan. 41737-41752 [doi]
• Provable Dynamic Fusion for Low-Quality Multimodal DataQingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng. 41753-41769 [doi]
• ReDi: Efficient Learning-Free Diffusion Inference via Trajectory RetrievalKexun Zhang, Xianjun Yang, William Yang Wang, Lei Li. 41770-41785 [doi]
• Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite RequestsQixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang 0001. 41786-41818 [doi]
• Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio DetectionXiaohui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Chu-Yuan Zhang. 41819-41831 [doi]
• Coder Reviewer Reranking for Code GenerationTianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida Wang 0001. 41832-41846 [doi]
• DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian InferenceWanrong Zhang 0001, Ruqi Zhang. 41847-41860 [doi]
• Nearly-tight Bounds for Deep Kernel LearningYifan Zhang, Min-Ling Zhang. 41861-41879 [doi]
• OpenFE: Automated Feature Generation with Expert-level PerformanceTianping Zhang, Zheyu Aqa Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu, Qian Liu, Wei Cao, Li Jian. 41880-41901 [doi]
• Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPsJunkai Zhang, Weitong Zhang, Quanquan Gu. 41902-41930 [doi]
• Unlocking Slot Attention by Changing Optimal Transport CostsYan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek. 41931-41951 [doi]
• Towards a Persistence Diagram that is Robust to Noise and Varied DensitiesHang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu 0002. 41952-41972 [doi]
• Robust Situational Reinforcement Learning in Face of Context DisturbancesJinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao 0007, Lei Song, Yuan Zhou, Jiang Bian 0002. 41973-41989 [doi]
• Patch-level Contrastive Learning via Positional Query for Visual Pre-trainingShaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan. 41990-41999 [doi]
• Men Also Do Laundry: Multi-Attribute Bias AmplificationDora Zhao, Jerone Theodore Alexander Andrews, Alice Xiang. 42000-42017 [doi]
• Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorchXunyi Zhao, Théotime Le Hellard, Lionel Eyraud-Dubois, Julia Gusak, Olivier Beaumont. 42018-42045 [doi]
• Revisiting Structured Variational AutoencodersYixiu Zhao, Scott W. Linderman. 42046-42057 [doi]
• On Pitfalls of Test-Time AdaptationHao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin. 42058-42080 [doi]
• Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling AlgorithmBoxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar. 42081-42097 [doi]
• X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusionHanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen 0003, Fang Wen 0001, Lu Yuan, Ce Liu 0001, Wenbo Zhou, Qi Chu 0001, Weiming Zhang 0001, Nenghai Yu. 42098-42109 [doi]
• Revisiting Simple Regret: Fast Rates for Returning a Good ArmYao Zhao, Connor Stephens, Csaba Szepesvári, Kwang-Sung Jun. 42110-42158 [doi]
• Transformed Distribution Matching for Missing Value ImputationHe Zhao 0001, Ke Sun, Amir Dezfouli, Edwin V. Bonilla. 42159-42186 [doi]
• Protecting Language Generation Models via Invisible WatermarkingXuandong Zhao, Yu-Xiang Wang, Lei Li. 42187-42199 [doi]
• Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement LearningYulai Zhao 0002, Zhuoran Yang, Zhaoran Wang, Jason D. Lee. 42200-42226 [doi]
• Simplified Temporal Consistency Reinforcement LearningYi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen. 42227-42246 [doi]
• RLEG: Vision-Language Representation Learning with Diffusion-based Embedding GenerationLiming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou. 42247-42258 [doi]
• Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic BanditsHeyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu. 42259-42279 [doi]
• Does Continual Learning Equally Forget All Parameters?Haiyan Zhao, Tianyi Zhou 0001, Guodong Long, Jing Jiang, Chengqi Zhang. 42280-42303 [doi]
• Online Learning in Stackelberg Games with an Omniscient FollowerGeng Zhao, Banghua Zhu, Jiantao Jiao, Michael I. Jordan. 42304-42316 [doi]
• Structure-informed Language Models Are Protein DesignersZaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou 0018, Fei Ye, Quanquan Gu. 42317-42338 [doi]
• Semi-Supervised Offline Reinforcement Learning with Action-Free TrajectoriesQinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover. 42339-42362 [doi]
• Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEsKaiwen Zheng, Cheng Lu 0011, Jianfei Chen 0001, Jun Zhu 0001. 42363-42389 [doi]
• Fast Sampling of Diffusion Models via Operator LearningHongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar. 42390-42402 [doi]
• Outline, Then Details: Syntactically Guided Coarse-To-Fine Code GenerationWenqing Zheng, S. P. Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang. 42403-42419 [doi]
• Revisiting Discriminative vs. Generative Classifiers: Theory and ImplicationsChenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu. 42420-42477 [doi]
• Evidential Interactive Learning for Medical Image CaptioningErvine Zheng, Qi Yu 0001. 42478-42491 [doi]
• Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone GraphsYizhen Zheng, He Zhang, Vincent Cheng-Siong Lee, Yu Zheng, Xiao Wang, Shirui Pan. 42492-42505 [doi]
• Multi-agent Online Scheduling: MMS Allocations for Indivisible ItemsShengwei Zhou 0002, Rufan Bai, Xiaowei Wu 0001. 42506-42516 [doi]
• Eliminating Adversarial Noise via Information Discard and Robust Representation RestorationDawei Zhou, Yukun Chen, Nannan Wang 0001, Decheng Liu, Xinbo Gao 0001, Tongliang Liu. 42517-42530 [doi]
• Brainformers: Trading Simplicity for EfficiencyYanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean. 42531-42542 [doi]
• Implicit Regularization Leads to Benign Overfitting for Sparse Linear RegressionMo Zhou, Rong Ge 0001. 42543-42573 [doi]
• ODS: Test-Time Adaptation in the Presence of Open-World Data ShiftZhi Zhou 0007, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yu-Feng Li. 42574-42588 [doi]
• Fourmer: An Efficient Global Modeling Paradigm for Image RestorationMan Zhou, Jie Huang 0017, Chun-Le Guo, Chongyi Li. 42589-42601 [doi]
• Controlled Text Generation with Natural Language InstructionsWangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan. 42602-42613 [doi]
• NNSplitter: An Active Defense Solution for DNN Model via Automated Weight ObfuscationTong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu. 42614-42624 [doi]
• Deep Latent State Space Models for Time-Series GenerationLinqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon. 42625-42643 [doi]
• SlotGAT: Slot-based Message Passing for Heterogeneous GraphsZiang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li 0001. 42644-42657 [doi]
• Fast Online Node Labeling for Very Large GraphsBaojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh. 42658-42697 [doi]
• Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision ProcessesRunlong Zhou, Ruosong Wang, Simon Shaolei Du. 42698-42723 [doi]
• Phase-aware Adversarial Defense for Improving Adversarial RobustnessDawei Zhou, Nannan Wang 0001, Heng Yang, Xinbo Gao 0001, Tongliang Liu. 42724-42741 [doi]
• From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural NetworksCai Zhou, Xiyuan Wang, Muhan Zhang. 42742-42768 [doi]
• Towards Omni-generalizable Neural Methods for Vehicle Routing ProblemsJianan Zhou 0002, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang. 42769-42789 [doi]
• A Three-regime Model of Network PruningYefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney. 42790-42809 [doi]
• Learning to Decouple Complex SystemsZihan Zhou, Tianshu Yu. 42810-42828 [doi]
• ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object NavigationKaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang. 42829-42842 [doi]
• On Strengthening and Defending Graph Reconstruction Attack with Markov Chain ApproximationZhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han. 42843-42877 [doi]
• Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic EnvironmentsRunlong Zhou, Zihan Zhang, Simon Shaolei Du. 42878-42914 [doi]
• Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain TranslatorSicheng Zhu, Bang An, Furong Huang, Sanghyun Hong 0001. 42915-42937 [doi]
• Markovian Gaussian Process Variational AutoencodersHarrison Zhu, Carles Balsells Rodas, Yingzhen Li. 42938-42961 [doi]
• Mixture Proportion Estimation Beyond IrreducibilityYilun Zhu, Aaron Fjeldsted, Darren Holland, George Landon, Azaree Lintereur, Clayton Scott. 42962-42982 [doi]
• Exploring Model Dynamics for Accumulative Poisoning DiscoveryJianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han. 42983-43004 [doi]
• Decentralized SGD and Average-direction SAM are Asymptotically EquivalentTongtian Zhu, Fengxiang He, Kaixuan Chen 0004, Mingli Song, Dacheng Tao. 43005-43036 [doi]
• Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise ComparisonsBanghua Zhu, Michael I. Jordan, Jiantao Jiao. 43037-43067 [doi]
• Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection CapabilityJianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han 0003. 43068-43104 [doi]
• Benign Overfitting in Deep Neural Networks under Lazy TrainingZhenyu Zhu, Fanghui Liu 0001, Grigorios Chrysos 0002, Francesco Locatello, Volkan Cevher. 43105-43128 [doi]
• Interpolation for Robust Learning: Data Augmentation on Wasserstein GeodesicsJiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao. 43129-43157 [doi]
• LeadFL: Client Self-Defense against Model Poisoning in Federated LearningChaoyi Zhu, Stefanie Roos, Lydia Y. Chen. 43158-43180 [doi]
• XTab: Cross-table Pretraining for Tabular TransformersBingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li 0003, George Karypis, Mahsa Shoaran. 43181-43204 [doi]
• Provable Multi-instance Deep AUC Maximization with Stochastic PoolingDixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang. 43205-43227 [doi]
• Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated LearningJunyi Zhu 0002, Ruicong Yao, Matthew B. Blaschko. 43228-43257 [doi]
• Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive AttributesZhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu 0018. 43258-43288 [doi]
• Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and AdaptivityDixian Zhu, Yiming Ying, Tianbao Yang. 43289-43325 [doi]
• Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous DataYubo Zhuang, Xiaohui Chen, Yun Yang. 43326-43346 [doi]
• Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?Juliusz Krysztof Ziomek, Haitham Bou-Ammar. 43347-43368 [doi]
• Revisiting Bellman Errors for Offline Model SelectionJoshua P. Zitovsky, Daniel de Marchi, Rishabh Agarwal, Michael Rene Kosorok. 43369-43406 [doi]
• spred: Solving L1 Penalty with SGDZiyin Liu, Zihao Wang 0001. 43407-43422 [doi]
• The Benefits of Mixup for Feature LearningDifan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu. 43423-43479 [doi]