Table of Contents

• Aggregating Data for Optimal LearningSushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer. 1-30 [doi]
• Causal Inference amid Missingness-Specific Independences and Mechanism ShiftsJohan de Aguas, Leonard Henckel, Johan Pensar, Guido Biele. 31-44 [doi]
• Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor InformationÖmer Faruk Akgül, Rajgopal Kannan, Viktor K. Prasanna. 45-63 [doi]
• CATE Estimation With Potential Outcome Imputation From Local RegressionAhmed Aloui, Juncheng Dong, Cat Phuoc Le, Vahid Tarokh. 64-90 [doi]
• Conditional Average Treatment Effect Estimation Under Hidden ConfoundersAhmed Aloui, Juncheng Dong, Ali-Hasan, Vahid Tarokh. 91-110 [doi]
• Sparse Structure Exploration and Re-optimization for Vision TransformerSangho An, Jinwoo Kim, Keonho Lee, Jingang Huh, Chanwoong Kwak, Yujin Lee, Moonsub Jin, Jangho Kim. 111-131 [doi]
• Symbiotic Local Search for Small Decision Tree Policies in MDPsRoman Andriushchenko, Milan Ceska 0002, Debraj Chakraborty 0002, Sebastian Junges, Jan Kretínský, Filip Macák. 132-148 [doi]
• MOHITO: Multi-Agent Reinforcement Learning using Hypergraphs for Task-Open SystemsGayathri Anil, Prashant Doshi, Daniel Redder, Adam Eck, Leen-Kiat Soh. 149-171 [doi]
• Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert KnowledgeAnkur Ankan, Johannes Textor. 172-183 [doi]
• Evasion Attacks Against Bayesian Predictive ModelsPablo G. Arce, Roi Naveiro, David Ríos Insua. 184-202 [doi]
• Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable MarginalsMarcel Arpogaus, Thomas Kneib, Thomas Nagler, David Rügamer. 203-222 [doi]
• Lower Bound on Howard Policy Iteration for Deterministic Markov Decision ProcessesAli Asadi, Krishnendu Chatterjee, Jakob de Raaij. 223-237 [doi]
• Limit-sure Reachability for Small Memory Policies in POMDPs is NP-completeAli Asadi, Krishnendu Chatterjee, Raimundo Saona, Ali Shafiee. 238-256 [doi]
• Can a Bayesian Oracle Prevent Harm from an Agent?Yoshua Bengio, Michael K. Cohen, Nikolay Malkin, Matt MacDermott, Damiano Fornasiere, Pietro Greiner, Younesse Kaddar. 257-270 [doi]
• Revisiting the Berkeley Admissions data: Statistical Tests for Causal HypothesesSourbh Bhadane, Joris M. Mooij, Philip A. Boeken, Onno Zoeter. 271-295 [doi]
• Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed BudgetJie Bian, Vincent Y. F. Tan. 296-331 [doi]
• BELIEF - Bayesian Sign Entropy Regularization for LIME FrameworkRevoti Prasad Bora, Philipp Terhörst, Raymond N. J. Veldhuis, Raghavendra Ramachandra, Kiran Bylappa Raja. 332-354 [doi]
• Multi-Cost-Bounded Reachability Analysis of POMDPsAlexander Bork, Joost-Pieter Katoen, Tim Quatmann, Svenja Stein. 355-387 [doi]
• Using Submodular Optimization to Approximate Minimum-Size Abductive Path Explanations for Tree-Based ModelsLouenas Bounia. 388-397 [doi]
• Stein Variational Evolution StrategiesCornelius V. Braun, Robert Tjarko Lange, Marc Toussaint. 398-420 [doi]
• Causal Models for Growing NetworksGecia Bravo Hermsdorff, Kayvan Sadeghi, Lee M. Gunderson. 421-442 [doi]
• Epistemic Uncertainty in Conformal Scores: A Unified ApproachLuben M. C. Cabezas, Vagner S. Santos, Thiago Ramos, Rafael Izbicki. 443-470 [doi]
• Creative Agents: Empowering Agents with Imagination for Creative TasksPenglin Cai, Chi Zhang, Yuhui Fu 0004, Haoqi Yuan, Zongqing Lu 0002. 471-496 [doi]
• Fast Non-convex Matrix Sensing with Optimal Sample ComplexityJian-Feng Cai, Tong Wu, Ruizhe Xia. 497-520 [doi]
• Out-of-distribution Robust OptimizationZhongze Cai, Hansheng Jiang, Xiaocheng Li. 521-539 [doi]
• Unsupervised Attributed Dynamic Network Embedding with Stability GuaranteesEmma Ceccherini, Ian Gallagher, Andrew Jones, Daniel John Lawson. 540-567 [doi]
• Improving Graph Contrastive Learning with Community StructureXiang Chen, Kun Yue, Liang Duan, Lixing Yu. 568-585 [doi]
• Just Trial Once: Ongoing Causal Validation of Machine Learning ModelsJacob M. Chen, Michael Oberst. 586-611 [doi]
• Adaptive Threshold Sampling for Pure Exploration in Submodular BanditsWenjing Chen, Shuo Xing, Victoria G. Crawford. 612-646 [doi]
• Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoGNaitong Chen, Jonathan H. Huggins, Trevor Campbell. 647-672 [doi]
• NRFlow: Towards Noise-Robust Generative Modeling via High-Order MechanismBo Chen 0029, ChengYue Gong, Xiaoyu Li 0001, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song 0002, Mingda Wan, Xugang Ye. 673-704 [doi]
• Moment Alignment: Unifying Gradient and Hessian Matching for Domain GeneralizationYuen Chen, Haozhe Si, Guojun Zhang, Han Zhao 0002. 705-736 [doi]
• Selective Blocking for Message-Passing Neural Networks on Heterophilic GraphsYoonhyuk Choi, Taewook Ko, Jiho Choi, Chong-kwon Kim. 737-751 [doi]
• Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-DivergenceTristan Cinquin, Robert Bamler. 752-776 [doi]
• Optimal Transport for Probabilistic CircuitsAdrian Ciotinga, YooJung Choi 0001. 777-797 [doi]
• Building Conformal Prediction Intervals with Approximate Message PassingLucas Clarté, Lenka Zdeborová. 798-820 [doi]
• RL, but don't do anything I wouldn't doMichael K. Cohen, Marcus Hutter, Yoshua Bengio, Stuart Russell 0001. 821-836 [doi]
• Measuring IIA Violations in Similarity Choices with Bayesian ModelsHugo Sales Correa, Suryanarayana Sankagiri, Daniel R. Figueiredo 0001, Matthias Grossglauser. 837-862 [doi]
• The Relativity of Causal KnowledgeGabriele D'Acunto, Claudio Battiloro. 863-881 [doi]
• Online Learning with Stochastically Partitioning ExpertsPuranjay Datta, Sharayu Moharir, Jaya Prakash Champati. 882-896 [doi]
• ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networksSina Däubener, Simon Damm, Asja Fischer. 897-914 [doi]
• Optimal Submanifold Structure in Log-linear ModelsZhou Derun, Mahito Sugiyama. 915-932 [doi]
• Calibrated Regression Against An Adversary Without RegretShachi Deshpande, Charles Marx, Volodymyr Kuleshov. 933-958 [doi]
• Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated LearningFrancesco Diana, André Nusser, Chuan Xu 0002, Giovanni Neglia. 959-980 [doi]
• Valid Bootstraps for Network Embeddings with Applications to Network VisualisationEmerald Dilworth, Ed Davis, Daniel John Lawson. 981-1002 [doi]
• Nearly Optimal Differentially Private ReLU RegressionMeng Ding, Mingxi Lei, Shaowei Wang 0003, Tianhang Zheng, Di Wang 0015, Jinhui Xu 0001. 1003-1038 [doi]
• Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationSimon Dirmeier, Carlo Albert, Fernando Pérez-Cruz. 1039-1063 [doi]
• Causal Discovery for Linear Non-Gaussian Models with Disjoint CyclesMathias Drton, Marina Garrote-López, Niko Nikov, Elina Robeva, Y. Samuel Wang. 1064-1083 [doi]
• Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable GuaranteesAlly Yalei Du, Eric Huang, Dravyansh Sharma. 1084-1111 [doi]
• Computationally Efficient Methods for Invariant Feature Selection with SparsityJane Du, Arindam Banerjee. 1112-1120 [doi]
• Probabilistic Semantics Guided Discovery of Approximate Functional DependenciesLiang Duan, Xinran Wu, Xinhui Li, Lixing Yu, Kun Yue. 1121-1134 [doi]
• Learning Causal Response Representations through Direct Effect AnalysisHomer Durand, Gherardo Varando, Gustau Camps-Valls. 1135-1166 [doi]
• Toward Universal Laws of Outlier PropagationAram Ebtekar, Yuhao Wang, Dominik Janzing. 1167-1183 [doi]
• Mixup Regularization: A Probabilistic PerspectiveYousef El-Laham, Niccolò Dalmasso, Svitlana Vyetrenko, Vamsi K. Potluru, Manuela Veloso. 1184-1219 [doi]
• Proximal Interacting Particle Langevin AlgorithmsPaula Cordero-Encinar, Francesca R. Crucinio, Ömer Deniz Akyildiz. 1220-1265 [doi]
• Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judgeYassir Fathullah, Mark J. F. Gales. 1266-1288 [doi]
• Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution BundlesPablo Flores, Olga Graf, Pavlos Protopapas, Karim Pichara. 1289-1336 [doi]
• Partial-Label Learning with Conformal Candidate CleaningTobias Fuchs, Florian Kalinke. 1337-1357 [doi]
• Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic ParametrizationSwetha Ganesh, Jiayu Chen, Washim Uddin Mondal, Vaneet Aggarwal. 1358-1380 [doi]
• A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication TimeYeqi Gao, Zhao Song 0002, Weixin Wang 0002, Junze Yin. 1381-1452 [doi]
• Nonlinear Causal Discovery for Grouped DataKonstantin Göbler, Tobias Windisch, Mathias Drton. 1453-1475 [doi]
• Statistical Significance of Feature Importance RankingsJeremy Goldwasser, Giles Hooker. 1476-1496 [doi]
• Optimal Zero-shot Regret Minimization for Selective Classification with Out-of-Distribution DetectionEduardo Dadalto Câmara Gomes, Marco Romanelli 0002. 1497-1520 [doi]
• Over the Top-1: Uncertainty-Aware Cross-Modal Retrieval with CLIPLluis-Gomez. 1521-1532 [doi]
• Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit FeedbackTanmay Goyal, Gaurav Sinha. 1533-1568 [doi]
• Guaranteed Prediction Sets for Functional Surrogate ModelsAnder Gray, Vignesh Gopakumar, Sylvain Rousseau 0001, Sébastien Destercke. 1569-1585 [doi]
• On the Privacy Risks of Spiking Neural Networks: A Membership Inference AnalysisJunyi Guan, Abhijith Sharma, Chong Tian, Salem Lahlou. 1586-1599 [doi]
• Learning Algorithms for Multiple Instance RegressionAaryan Gupta, Rishi Saket. 1600-1615 [doi]
• Contrast-CAT: Contrasting Activations for Enhanced Interpretability in Transformer-based Text ClassifiersSungmin Han, Jeonghyun Lee, Sangkyun Lee. 1616-1625 [doi]
• Conformal Prediction without Nonconformity ScoresJonas Hanselle, Alireza Javanmardi, Tobias Florin Oberkofler, Yusuf Sale, Eyke Hüllermeier. 1626-1639 [doi]
• Quantum Speedups for Bayesian Network Structure LearningJuha Harviainen, Kseniya Rychkova, Mikko Koivisto. 1640-1647 [doi]
• RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset PruningAtif Hassan, Swanand R. Khare, Jiaul H. Paik. 1648-1662 [doi]
• SPvR: Structured Pruning via RankingAtif Hassan, Jiaul H. Paik, Swanand R. Khare. 1663-1676 [doi]
• LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal DiscoverySujai Hiremath, Promit Ghosal, Kyra Gan. 1677-1709 [doi]
• Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion ModelsThi Kieu Khanh Ho, Narges Armanfard. 1710-1729 [doi]
• Simulation-Free Differential Dynamics Through Neural Conservation LawsMengjian Hua, Eric Vanden-Eijnden, Ricky T. Q. Chen. 1730-1744 [doi]
• Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and AnalysisRuiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen 0001, Jing Yang 0002. 1745-1767 [doi]
• FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity SetMichael Ibrahim 0004, Heraldo Rozas, Nagi Gebraeel, Weijun Xie 0001. 1768-1793 [doi]
• Root Cause Analysis of Failures from Partial Causal StructuresAzam Ikram, Kenneth Lee, Shubham Agarwal 0007, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu. 1794-1818 [doi]
• Lower Bounds on the Size of Markov Equivalence ClassesErik Jahn, Frederick Eberhardt, Leonard J. Schulman. 1819-1836 [doi]
• Generative Uncertainty in Diffusion ModelsMetod Jazbec, Eliot Wong-Toi, Guoxuan Xia, Dan Zhang, Eric T. Nalisnick, Stephan Mandt. 1837-1858 [doi]
• Fast Calculation of Feature Contributions in Boosting TreesZhongli Jiang, Min Zhang, Dabao Zhang. 1859-1875 [doi]
• Coevolutionary Emergent Systems Optimization with Applications to Ultra-High-Dimensional Metasurface Design : OAM Wave ManipulationZhengxuan Jiang, Guowen Ding, Wen Jiang. 1876-1894 [doi]
• Best Possible Q-LearningJiechuan Jiang, Zongqing Lu 0002. 1895-1908 [doi]
• Distributional Reinforcement Learning with Dual Expectile-Quantile RegressionSami Jullien, Romain Deffayet, Jean-Michel Renders, Paul Groth, Maarten de Rijke. 1909-1923 [doi]
• Provably Adaptive Average Reward Reinforcement Learning for Metric SpacesAvik Kar, Rahul Singh 0001. 1924-1964 [doi]
• ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional CompressionAvetik G. Karagulyan, Peter Richtárik. 1965-1989 [doi]
• Adapting Prediction Sets to Distribution Shifts Without LabelsKevin Kasa, Zhiyu Zhang, Heng Yang, Graham W. Taylor. 1990-2010 [doi]
• Moments of Causal EffectsYuta Kawakami, Jin Tian. 2011-2043 [doi]
• Decomposition of Probabilities of Causation with Two MediatorsYuta Kawakami, Jin Tian. 2044-2068 [doi]
• Explaining Negative Classifications of AI Models in Tumor DiagnosisDavid A. Kelly, Hana Chockler, Nathan Blake. 2069-2081 [doi]
• Enumerating Optimal Cost-Constrained Adjustment SetsBatya Kenig. 2082-2100 [doi]
• Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational InferenceMert Ketenci, Adler J. Perotte, Noémie Elhadad, Iñigo Urteaga. 2101-2142 [doi]
• Efficiently Escaping Saddle Points for Policy OptimizationMohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser. 2143-2162 [doi]
• Collaborative Prediction: To Join or To Disjoin DatasetsKyung Rok Kim, Yansong Wang, Xiaocheng Li, Guanting Chen. 2163-2201 [doi]
• Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?Hwanwoo Kim, Chong Liu, Yuxin Chen. 2202-2222 [doi]
• Causal Effect Identification in Heterogeneous Environments from Higher-Order MomentsYaroslav Kivva, Sina Akbari, Saber Salehkaleybar, Negar Kiyavash. 2223-2254 [doi]
• A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random ProjectionsProdromos Kolyvakis, Aristidis Likas. 2255-2268 [doi]
• 2: Distribution-Free Decision-Focused LearningLingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai 0001, Chao Zhang 0014. 2269-2290 [doi]
• Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEsChun-Wei Kong, Luca Laurenti, Jay W. McMahon, Morteza Lahijanian. 2291-2324 [doi]
• Robust Optimization with Diffusion Models for Green SecurityLingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang 0001, Haifeng Xu, Milind Tambe. 2325-2344 [doi]
• Probabilistic Explanations for Regression ModelsFrédéric Koriche, Jean-Marie Lagniez, Chi Tran. 2345-2362 [doi]
• An Optimal Algorithm for Strongly Convex Min-Min OptimizationDmitry Kovalev, Alexander V. Gasnikov, Grigory Malinovsky. 2363-2379 [doi]
• Budget Allocation Exploiting Label Correlation between InstancesAdithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li 0012. 2380-2395 [doi]
• Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCASyamantak Kumar, Shourya Pandey, Purnamrita Sarkar. 2396-2430 [doi]
• A Probabilistic Neuro-symbolic Layer for Algebraic Constraint SatisfactionLeander Kurscheidt, Paolo Morettin, Roberto Sebastiani, Andrea Passerini, Antonio Vergari. 2431-2471 [doi]
• Adaptive Reward Design for Reinforcement LearningMinjae Kwon, Ingy Elsayed-Aly, Lu Feng 0001. 2472-2485 [doi]
• Constraint-based Causal Discovery from a Collection of Conditioning SetsKenneth Lee, Bruno Ribeiro, Murat Kocaoglu. 2486-2516 [doi]
• Trading Off Voting Axioms for PrivacyZhechen Li, Ao Liu 0001, Lirong Xia, Yongzhi Cao, Hanpin Wang. 2517-2536 [doi]
• Enhancing Uncertainty Quantification in Large Language Models through Semantic Graph DensityZhaoye Li, Siyuan Shen, Wenjing Yang 0002, Ruochun Jin, Huan Chen, Ligong Cao, Jing Ren. 2537-2551 [doi]
• Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to TheoryJiehao Liang, Zhao Song 0002, Zhaozhuo Xu, Junze Yin, Danyang Zhuo. 2552-2581 [doi]
• Flat Posterior Does Matter For Bayesian Model AveragingSungjun Lim 0002, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung, Jiyoung Jung, Kyungwoo Song. 2582-2617 [doi]
• FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated LearningI-Cheng Lin, Osman Yagan, Carlee Joe-Wong. 2618-2641 [doi]
• 2: Leveraging Geometry for Conformal Prediction via CanonicalizationPutri A. van der Linden, Alexander Timans, Erik J. Bekkers. 2642-2658 [doi]
• Multi-group Uncertainty Quantification for Long-form Text GenerationTerrance Liu, Steven Wu 0001. 2659-2684 [doi]
• DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link PredictionWeixiong Liu, Junwei Cheng, Zhongyu Pan, Chaobo He, Quanlong Guan. 2685-2700 [doi]
• Letting Uncertainty Guide Your Multimodal Machine TranslationWuyi Liu, Yue Gao, Yige Mao, Jing Zhao. 2701-2710 [doi]
• STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective LearningZhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang 0001, Jia Liu 0002. 2711-2747 [doi]
• Periodical Moving Average Accelerates Gradient Accumulation for Post-TrainingYumou Liu, An Li, Chaojie Li, Fei Yu, Benyou Wang. 2748-2768 [doi]
• Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright ProtectionTianci Liu 0003, Tong Yang, Quan Zhang, Qi Lei. 2769-2785 [doi]
• Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family ManifoldSong Liu, Leyang Wang, Yakun Wang 0005. 2786-2803 [doi]
• Federated Rényi Fair Inference in Federated Heterogeneous SystemZhiyong Ma, Yuanjie Shi, Yan Yan 0006, Jian Chen. 2804-2843 [doi]
• Multi-armed Bandits with Missing OutcomesIlia Mahrooghi, Mahshad Moradi, Sina Akbari, Negar Kiyavash. 2844-2875 [doi]
• Weak to Strong Learning from Aggregate LabelsYukti Makhija, Rishi Saket. 2876-2891 [doi]
• SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine UnlearningOwais Makroo, Atif Hassan, Swanand R. Khare. 2892-2905 [doi]
• Testing Generalizability in Causal InferenceDaniel de Vassimon Manela, Linying Yang, Robin J. Evans 0002. 2906-2927 [doi]
• MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute TimesArto Maranjyan, Omar Shaikh Omar, Peter Richtárik. 2928-2957 [doi]
• Off-policy Predictive Control with Causal Sensitivity AnalysisMyrl G. Marmarelis, Ali-Hasan, Kamyar Azizzadenesheli, R. Michael Alvarez, Anima Anandkumar. 2958-2972 [doi]
• Improved Variational Inference in Discrete VAEs using Error Correcting CodesMaría Martínez-García, Grace Villacrés, David G. M. Mitchell, Pablo M. Olmos. 2973-3012 [doi]
• A Quantum Information Theoretic Approach to Tractable Probabilistic ModelsPedro Zuidberg Dos Martires. 3013-3030 [doi]
• ODD: Overlap-aware Estimation of Model Performance under Distribution ShiftAayush Mishra, Anqi Liu. 3031-3047 [doi]
• SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse InputPanagiotis Misiakos, Markus Püschel. 3048-3092 [doi]
• When Extragradient Meets PAGE: Bridging Two Giants to Boost Variational InequalitiesGleb Molodtsov, Valery Parfenov, Egor Petrov, Grigoriy Evseev, Daniil Medyakov, Aleksandr Beznosikov. 3093-3122 [doi]
• Relational Causal Discovery with Latent ConfoundersMatteo Negro, Andrea Piras, Ragib Ahsan, David Arbour, Elena Zheleva. 3123-3154 [doi]
• Temperature Optimization for Bayesian Deep LearningKenyon Ng, Chris van der Heide, Liam Hodgkinson, Susan Wei. 3155-3181 [doi]
• Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional OptimizationDai-Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura. 3182-3199 [doi]
• Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution BehaviorAnthony Nguyen, Emanuel Aldea, Sylvie Le Hégarat-Mascle, Renaud Lustrat. 3200-3220 [doi]
• Bayesian Optimization over Bounded Domains with the Beta Product KernelHuy-Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin. 3221-3234 [doi]
• 2VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential RecommendationXuying Ning, Wujiang Xu, Tianxin Wei, Xiaolei Liu. 3235-3251 [doi]
• Discriminative ordering through ensemble consensusLouis Ohl, Fredrik Lindsten. 3252-3271 [doi]
• Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence GuaranteesAzim Ospanov, Farzan Farnia. 3272-3299 [doi]
• Probability-Raising Causality for Uncertain Parametric Markov Decision Processes with PAC GuaranteesRyohei Oura, Yuji Ito. 3300-3321 [doi]
• An Information-theoretic Perspective of Hierarchical Clustering on GraphsYicheng Pan 0001, Bingchen Fan, Pengyu Long, Feng Zheng. 3322-3345 [doi]
• Concept Forgetting via Label AnnealingSubhodip Panda, Ananda Theertha Suresh, Atri Guha, Prathosh A. P.. 3346-3360 [doi]
• Correlated Quantization for Faster Nonconvex Distributed OptimizationAndrei Panferov, Yury Demidovich, Ahmad Rammal, Peter Richtárik. 3361-3387 [doi]
• Exploring Exploration in Bayesian OptimizationLeonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi. 3388-3415 [doi]
• Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over GraphsMilan Papez, Martin Rektoris, Václav Smídl, Tomás Pevný. 3416-3450 [doi]
• A Trust-Region Method for Graphical Stein Variational InferenceLiam Pavlovic, David M. Rosen. 3451-3464 [doi]
• Are You Doing Better Than Random Guessing? A Call for Using Negative Controls When Evaluating Causal Discovery AlgorithmsAnne Helby Petersen. 3465-3479 [doi]
• Multi-Label Bayesian Active Learning with Inter-Label RelationshipsYuanyuan Qi, Jueqing Lu, Xiaohao Yang, Joanne Enticott, Lan Du 0002. 3480-3491 [doi]
• Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team GamesChen Qiu, Haobo Fu, Kai Li, Jiajia Zhang, Xuan Wang. 3492-3506 [doi]
• FeDCM: Federated Learning of Deep Causal Generative ModelsMd. Musfiqur Rahman, Murat Kocaoglu. 3507-3524 [doi]
• COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning FrameworkYinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian. 3525-3551 [doi]
• Learning with ConfidenceOliver E. Richardson. 3552-3569 [doi]
• What is the Right Notion of Distance between Predict-then-Optimize Tasks?Paula Rodriguez Diaz, Lingkai Kong, Kai Wang 0040, David Alvarez-Melis, Milind Tambe. 3570-3586 [doi]
• Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace InferenceColin Samplawski, Adam D. Cobb, Manoj Acharya, Ramneet Kaur, Susmit Jha. 3587-3604 [doi]
• On Information-Theoretic Measures of Predictive UncertaintyKajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter. 3605-3640 [doi]
• Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein BallsAras Selvi, Eleonora Kreacic, Mohsen Ghassemi, Vamsi K. Potluru, Tucker Balch, Manuela Veloso. 3641-3674 [doi]
• Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning ActivationsMarcin Sendera, Amin Sorkhei, Tomasz Kusmierczyk. 3675-3700 [doi]
• Scaling Probabilistic Circuits via Data PartitioningJonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting. 3701-3717 [doi]
• Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal RegressionHooman Shahrokhi, Devjeet Raj Roy, Yan Yan 0006, Venera Arnaoudova, Jana Doppa. 3718-3748 [doi]
• Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in RepresentationsAnup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal. 3749-3765 [doi]
• Divide and Orthogonalize: Efficient Continual Learning with Local Model Space ProjectionJin Shang, Simone Shao, Tian Tong, Fan Yang 0084, Yetian Chen, Yang Jiao, Jia Liu 0002, Yan Gao. 3766-3786 [doi]
• Experimentation under Treatment Dependent Network InterferenceShiv Shankar, Ritwik Sinha, Madalina Fiterau. 3787-3808 [doi]
• Learning Robust XGBoost Ensembles for Regression TasksAtri Vivek Sharma, Panagiotis Kouvaros, Alessio Lomuscio. 3809-3825 [doi]
• Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian EigenmapsZhaoyang Shi, Krishna Balasubramanian, Wolfgang Polonik. 3826-3845 [doi]
• Critical Influence of Overparameterization on Sharpness-aware MinimizationSungbin Shin, Dongyeop Lee, Maksym Andriushchenko, Namhoon Lee. 3846-3877 [doi]
• The Causal Information Bottleneck and Optimal Causal Variable AbstractionsFrancisco Nunes Ferreira Quialheiro Simoes, Mehdi Dastani, Thijs van Ommen. 3878-3897 [doi]
• Truthful Elicitation of Imprecise ForecastsAnurag Singh 0006, Siu Lun Chau, Krikamol Muandet. 3898-3919 [doi]
• Learning from Label Proportions and Covariate-shifted InstancesSagalpreet Singh, Navodita Sharma, Shreyas Havaldar, Rishi Saket, Aravindan Raghuveer. 3920-3938 [doi]
• Approximate Bayesian Inference via Bitstring RepresentationsAleksanteri M. Sladek, Martin Trapp 0001, Arno Solin. 3939-3957 [doi]
• Proxy-informed Bayesian transfer learning with unknown sourcesSabina J. Sloman, Julien Martinelli, Samuel Kaski. 3958-3978 [doi]
• Privacy-Preserving Neural Processes for Probabilistic User ModelingAmir Sonee, Haripriya Harikumar, Alex Hämäläinen, Lukas Prediger, Samuel Kaski. 3979-3998 [doi]
• RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical featuresJialei Song, Xingquan Zuo, Feiyang Wang, Hai Huang, Tianle Zhang. 3999-4012 [doi]
• Pure and Strong Nash Equilibrium Computation in Compactly Representable Aggregate GamesJared Soundy, Mohammad T. Irfan, Hau Chan. 4013-4033 [doi]
• Nonparametric Bayesian inference of item-level features in classifier combinationPatrick Stinson, Nikolaus Kriegeskorte. 4034-4043 [doi]
• On Constant Regret for Low-Rank MDPsAlexander Sturm, Sebastian Tschiatschek. 4044-4079 [doi]
• Adaptive Human-Robot Collaboration using Type-Based IRLPrasanth Sengadu Suresh, Prashant Doshi, Bikramjit Banerjee. 4080-4091 [doi]
• Transparent Trade-offs between Properties of ExplanationsHiwot Belay Tadesse, Alihan Hüyük, Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez. 4092-4112 [doi]
• FALCON: Adaptive Cross-Domain APT Attack Investigation with Federated Causal LearningJialu Tang, Yali Gao, Xiaoyong Li, Jiawei Li, Shui Yu, Binxing Fang. 4113-4131 [doi]
• InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation AnalysisShiqin Tang, Shujian Yu. 4132-4144 [doi]
• Metric Learning in an RKHSGokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak. 4145-4164 [doi]
• A Unified Data Representation Learning for Non-parametric Two-sample TestingXunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu 0003. 4165-4184 [doi]
• Adversarial Training May Induce Deteriorating DistributionsRunzhi Tian, Yongyi Mao. 4185-4203 [doi]
• On Continuous Monitoring of Risk Violations under Unknown ShiftAlexander Timans, Rajeev Verma, Eric T. Nalisnick, Christian A. Naesseth. 4204-4226 [doi]
• HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State DiscoverySana Tonekaboni, Tina Behrouzi, Addison Weatherhead, Emily B. Fox, David M. Blei, Anna Goldenberg. 4227-4250 [doi]
• Optimal Transport Alignment of User Preferences from Ratings and TextsNhu-Thuat Tran, Hady W. Lauw. 4251-4265 [doi]
• Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural NetworksDat Phan-Trong, Hung The Tran, Sunil Gupta 0001. 4266-4289 [doi]
• EERO: Early Exit with Reject Option for Efficient Classification with limited budgetFlorian Valade, Mohamed Hebiri, Paul Gay. 4290-4308 [doi]
• Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable ModelsAishwarya Venkataramanan, Paul Bodesheim, Joachim Denzler. 4309-4328 [doi]
• Offline Changepoint Detection With Gaussian ProcessesJanneke Verbeek, Tom Heskes, Yuliya Shapovalova. 4329-4348 [doi]
• Hindsight Merging: Diverse Data Generation with Language ModelsVeniamin Veselovsky, Benedikt Stroebl, Gianluca M. Bencomo, Dilip Arumugam, Lisa Schut, Arvind Narayanan, Thomas L. Griffiths 0001. 4349-4369 [doi]
• A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-OffsWenyu Wang, Zheyi Fan, Szu-Hui Ng. 4370-4394 [doi]
• Targeted Learning for Variable ImportanceXiaohan Wang, Yunzhe Zhou, Giles Hooker. 4395-4410 [doi]
• Nonparametric Bayesian Multi-Facet Clustering for Longitudinal DataLuwei Wang, Kieran Richards, Sohan Seth. 4411-4442 [doi]
• A Parallel Network for LRCT Segmentation and Uncertainty Mitigation with Fuzzy SetsShiyi Wang, Yang Nan 0002, Xiaodan Xing, Yingying Fang, Simon L. F. Walsh, Guang Yang 0006. 4443-4457 [doi]
• VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label LearningJie Wang, Ning Xu, Xin Geng. 4458-4471 [doi]
• MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information TheoryZifan Wang, Jingwei Li, Yitang Li, Yunze Liu. 4472-4488 [doi]
• Informative Synthetic Data Generation for Thorax Disease ClassificationYancheng Wang, Rajeev Goel, Marko Jojic, Alvin C. Silva, Teresa Wu, Yingzhen Yang. 4489-4514 [doi]
• A Mirror Descent Perspective of Smoothed Sign DescentShuyang Wang, Diego Klabjan. 4515-4542 [doi]
• Geodesic Slice Sampler for Multimodal Distributions with Strong CurvatureBernardo Williams, Hanlin Yu, Hoang Phuc Hau Luu, Georgios Arvanitidis, Arto Klami. 4543-4564 [doi]
• Online Generalized Magician's Problem with Multiple WorkersRuoyu Wu, Wei Bao 0001, Ben Liang 0001, Liming Ge. 4565-4596 [doi]
• Group-Agent Reinforcement Learning with Heterogeneous AgentsKaiyue Wu, Xiao-Jun Zeng, Tingting Mu. 4597-4617 [doi]
• FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Short-Term Flight Trajectory PredictionLan Wu, Xuebin Wang, Ruijuan Chu, Guangyi Liu, Jing Zhang, Linyu Wang. 4618-4635 [doi]
• The Consistency Hypothesis in Uncertainty Quantification for Large Language ModelsQuan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu 0002, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee 0001. 4636-4651 [doi]
• Learning Multi-interest Embedding with Dynamic Graph Cluster for Sequention RecommendationChunjing Xiao, Ranhao Guo, Zhang Yongwang, Xiaoming Wu. 4652-4662 [doi]
• Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance SamplingJian Xu 0021, Shian Du, Junmei Yang, Qianli Ma 0001, Delu Zeng, John Paisley. 4663-4680 [doi]
• Dependent Randomized Rounding for Budget Constrained Experimental DesignKhurram Yamin, Edward Kennedy, Bryan Wilder. 4681-4700 [doi]
• Full Network Capacity Framework for Sample-Efficient Deep Reinforcement LearningWentao Yang, Xinyue Liu 0002, Yunlong Gao, Wenxin Liang, Linlin Zong, Guanglu Wang, Xianchao Zhang 0001. 4701-4714 [doi]
• Best Arm Identification with Possibly Biased Offline DataLe Yang, Vincent Y. F. Tan, Wang Chi Cheung. 4715-4730 [doi]
• MSCGrapher: Learning Multi-Scale Dynamic Correlations for Multivariate Time Series ForecastingXian Yang, Zhenguo Zhang, Shihao Lu. 4731-4751 [doi]
• Flow-Based Delayed Hawkes ProcessChao Yang, Wendi Ren, Shuang Li 0002. 4752-4774 [doi]
• σ-Maximal Ancestral GraphsBinghua Yao, Joris M. Mooij. 4775-4805 [doi]
• How Likely Are Two Voting Rules Different?Ziqi Yu, Lirong Xia, Qishen Han, Chengkai Zhang. 4806-4825 [doi]
• Corruption-Robust Variance-aware Algorithms for Generalized Linear Bandits under Heavy-tailed RewardsQingyuan Yu, Euijin Baek, Xiang Li, Qiang Sun. 4826-4843 [doi]
• Complete Characterization for Adjustment in Summary Causal Graphs of Time SeriesClément Yvernes, Emilie Devijver, Éric Gaussier. 4844-4871 [doi]
• Label Distribution Learning using the Squared Neural Family on the Probability SimplexDaokun Zhang, Russell Tsuchida, Dino Sejdinovic. 4872-4888 [doi]
• Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic NoiseZiyi Zhang, Yorie Nakahira, Guannan Qu. 4889-4919 [doi]
• Instance-Wise Monotonic Calibration by Constrained TransformationYunrui Zhang, Gustavo Enrique Batista, Salil S. Kanhere. 4920-4932 [doi]
• Causal Eligibility Traces for Confounding Robust Off-Policy EvaluationJunzhe Zhang 0001, Elias Bareinboim. 4933-4942 [doi]
• Improving Adversarial Transferability via Decision Boundary AdaptationJiayu Zhang 0001, Zhiyu Zhu, Zhibo Jin, Xinyi Wang 0005, Huaming Chen, Kim-Kwang Raymond Choo. 4943-4958 [doi]
• Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed CommunicationHaoran Zhang, Xuchuang Wang, Hao-Xu Chen, Hao Qiu, Lin Yang, Yang Gao. 4959-4981 [doi]
• Residual Reweighted Conformal Prediction for Graph Neural NetworksZheng Zhang, Jie Bao, Zhixin Zhou, Nicolò Colombo, Lixin Cheng, Rui Luo. 4982-4999 [doi]
• Finding Interior Optimum of Black-box Constrained Objective with Bayesian OptimizationFengxue Zhang, Yuxin Chen. 5000-5029 [doi]
• Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function ApproximationRunze Zhao, Yue Yu, Adams Yiyue Zhu, Chen Yang, Dongruo Zhou. 5030-5057 [doi]
• Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function ApproximationCanzhe Zhao, Shuze Chen, Weiming Liu, Haobo Fu, Qiang Fu 0016, Shuai Li. 5058-5083 [doi]
• Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement LearningXue Zhou, Dapeng Man, Chen Xu, Fanyi Zeng, Tao Liu, Huan Wang, Shucheng He, Chaoyang Gao, Wu Yang 0001. 5084-5098 [doi]
• Learning to Sample in Stochastic OptimizationSijia Zhou, Yunwen Lei, Ata Kabán. 5099-5115 [doi]
• MSP-SR: Multi-Stage Probabilistic Generative Super Resolution with Scarce High-Resolution DataRuike Zhu, Matthew Charles Weston, Hanwen Zhang, Arindam Banerjee. 5116-5134 [doi]