Abstract is missing.
- A Probabilistic Framework for Multi-Label Learning with Unseen LabelsAbhilash Gaure, Piyush Rai. [doi]
- Two current analysis challenges: Single Cell Omics and Nanopore Long-read Sequence DataTerry Speed.
- Learning to Acquire InformationYewen Pu, Leslie Pack Kaelbling, Armando Solar-Lezama. [doi]
- Data-Dependent Sparsity for Subspace ClusteringBo Xin, Yizhou Wang 0001, Wen Gao 0001, David P. Wipf. [doi]
- Multi-dueling Bandits with Dependent ArmsYanan Sui, Vincent Zhuang, Joel W. Burdick, Yisong Yue. [doi]
- Counting Markov Equivalence Classes by Number of ImmoralitiesAdityanarayanan Radhakrishnan, Liam Solus, Caroline Uhler. [doi]
- Communication-Efficient Distributed Primal-Dual Algorithm for Saddle Point ProblemYaodong Yu, Sulin Liu, Sinno Jialin Pan. [doi]
- Coupling Adaptive Batch Sizes with Learning RatesLukas Balles, Javier Romero, Philipp Hennig. [doi]
- Analysis of Thompson Sampling for Stochastic Sleeping BanditsAritra Chatterjee, Ganesh Ghalme, Shweta Jain, Rohit Vaish, Y. Narahari. [doi]
- Self-Discrepancy Conditional Independence TestSanghack Lee, Vasant G. Honavar. [doi]
- Learning and Inference with ExpectationsAmir Globerson.
- Near-Optimal Interdiction of Factored MDPsSwetasudha Panda, Yevgeniy Vorobeychik. [doi]
- Causal Discovery from Temporally Aggregated Time SeriesMingming Gong, Kun Zhang 0001, Bernhard Schölkopf, Clark Glymour, Dacheng Tao. [doi]
- Learning Treatment-Response Models from Multivariate Longitudinal DataHossein Soleimani, Adarsh Subbaswamy, Suchi Saria. [doi]
- Weighted Model Counting With Function SymbolsVaishak Belle. [doi]
- Fair Optimal Stopping Policy for Matching with MediatorYang Liu. [doi]
- Stein Variational Policy GradientYang Liu, Prajit Ramachandran, Qiang Liu 0001, Jian Peng. [doi]
- Effective sketching methods for value function approximationYangchen Pan, Erfan Sadeqi Azer, Martha White. [doi]
- Real-Time Resource Allocation for Tracking SystemsYash Satsangi, Shimon Whiteson, Frans A. Oliehoek, Henri Bouma. [doi]
- Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor SearchStephen Mussmann, Daniel Levy, Stefano Ermon. [doi]
- Shortest Path under Uncertainty: Exploration versus ExploitationZhan Wei Lim, David Hsu, Wee Sun Lee. [doi]
- Machine Learning for Healthcare DataKatherine A. Heller.
- On Loopy Belief Propagation - Local Stability Analysis for Non-Vanishing FieldsChristian Knoll, Franz Pernkopf. [doi]
- Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy LabelsCurtis G. Northcutt, Tailin Wu, Isaac L. Chuang. [doi]
- An Efficient Minibatch Acceptance Test for Metropolis-HastingsDaniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny. [doi]
- Snorkel: Beyond Hand-labeled DataChristopher Ré.
- Safe Semi-Supervised Learning of Sum-Product NetworksMartin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl. [doi]
- Branch and Bound for Regular Bayesian Network Structure LearingJoe Suzuki, Jun Kawahara. [doi]
- Submodular Variational Inference for Network ReconstructionLin Chen 0003, Forrest W. Crawford, Amin Karbasi. [doi]
- On the Complexity of Nash Equilibrium ReoptimizationAndrea Celli, Alberto Marchesi, Nicola Gatti 0001. [doi]
- Improving Optimization-Based Approximate Inference by Clamping VariablesJunyao Zhao, Josip Djolonga, Sebastian Tschiatschek, Andreas Krause 0001. [doi]
- Causal Consistency of Structural Equation ModelsPaul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf. [doi]
- Differentially Private Variational Inference for Non-conjugate ModelsJoonas Jälkö, Antti Honkela, Onur Dikmen. [doi]
- Near-Orthogonality Regularization in Kernel MethodsPengtao Xie, Barnabás Póczos, Eric P. Xing. [doi]
- The Total Belief TheoremChunlai Zhou, Fabio Cuzzolin. [doi]
- A Tractable Probabilistic Model for Subset SelectionYujia Shen, Arthur Choi, Adnan Darwiche. [doi]
- Provable Inductive Robust PCA via Iterative Hard ThresholdingU. N. Niranjan, Arun Rajkumar, Theja Tulabandhula. [doi]
- A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care UnitsNiranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E. Engelhardt. [doi]
- Feature-to-Feature Regression for a Two-Step Conditional Independence TestQinyi Zhang, Sarah Filippi, Seth R. Flaxman, Dino Sejdinovic. [doi]
- Convex-constrained Sparse Additive Modeling and Its ExtensionsJunming Yin, Yaoliang Yu. [doi]
- Importance Sampling for Fair Policy SelectionShayan Doroudi, Philip S. Thomas, Emma Brunskill. [doi]
- SAT-Based Causal Discovery under Weaker AssumptionsZhalama, Jiji Zhang, Frederick Eberhardt, Wolfgang Mayer. [doi]
- A Practical Method for Solving Contextual Bandit Problems Using Decision TreesRyan McNellis, Adam N. Elmachtoub, Sechan Oh, Marek Petrik. [doi]
- Composing Inference Algorithms as Program TransformationsRobert Zinkov, Chung-chieh Shan. [doi]
- Decoupling Homophily and Reciprocity with Latent Space Network ModelsJiasen Yang, Vinayak Rao, Jennifer Neville. [doi]
- Balanced Mini-batch Sampling for SGD Using Determinantal Point ProcessesCheng Zhang 0005, Hedvig Kjellström, Stephan Mandt. [doi]
- Value Directed Exploration in Multi-Armed Bandits with Structured PriorsBence Cserna, Marek Petrik, Reazul Hasan Russel, Wheeler Ruml. [doi]
- Continuously Tempered Hamiltonian Monte CarloMatthew M. Graham, Amos J. Storkey. [doi]
- The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent ClustersMatt Barnes, Artur Dubrawski. [doi]
- Intelligent Robots in an Uncertain WorldLeslie Pack Kaelbling.
- Bayesian Inference of Log DeterminantsJack K. Fitzsimons, Kurt Cutajar, Maurizio Filippone, Michael A. Osborne, Stephen J. Roberts. [doi]
- Learning Approximately Objective PriorsEric T. Nalisnick, Padhraic Smyth. [doi]
- FROSH: FasteR Online Sketching HashingXixian Chen, Irwin King, Michael R. Lyu. [doi]
- Algebraic Equivalence Class Selection for Linear Structural Equation ModelsThijs van Ommen, Joris M. Mooij. [doi]
- Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive TroubleshootingYuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause 0001. [doi]
- Online Constrained Model-based Reinforcement LearningBenjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman. [doi]
- A Fast Algorithm for Matrix Eigen-decompositionnZhiqiang Xu, Yiping Ke, Xin Gao. [doi]
- Supervised Restricted Boltzmann MachinesTu Dinh Nguyen, Dinh Q. Phung, Viet Huynh, Trung Le. [doi]
- Green Generative Modeling: Recycling Dirty Data using Recurrent Variational AutoencodersYu Wang, Bin Dai, Gang Hua, John Aston, David P. Wipf. [doi]
- Triply Stochastic Gradients on Multiple Kernel LearningXiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling. [doi]
- Stochastic Segmentation Trees for Multiple Ground TruthsJake Snell, Richard S. Zemel. [doi]
- Interpreting Lion Behaviour as Probabilistic ProgramsNeil Dhir, Matthijs Vákár, Matthew Wijers, Andrew Markham, Frank D. Wood. [doi]
- Exact Inference for Relational Graphical Models with Interpreted Functions: Lifted Probabilistic Inference Modulo TheoriesRodrigo de Salvo Braz, Ciaran O'Reilly. [doi]
- Interpreting and Using CPDAGs With Background KnowledgeEmilija Perkovic, Markus Kalisch, Marloes H. Maathuis. [doi]
- Regret Minimization Algorithms for the Followers Behaviour Identification in Leadership GamesLorenzo Bisi, Giuseppe De Nittis, Francesco Trovò, Marcello Restelli, Nicola Gatti 0001. [doi]
- Probabilistic Program AbstractionsSteven Holtzen, Todd D. Millstein, Guy Van den Broeck. [doi]
- Adversarial Sets for Regularising Neural Link PredictorsPasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel 0001. [doi]
- AutoGP: Exploring the Capabilities and Limitations of Gaussian Process ModelsKarl Krauth, Edwin V. Bonilla, Kurt Cutajar, Maurizio Filippone. [doi]
- Towards Conditional Independence Test for Relational DataSanghack Lee, Vasant G. Honavar. [doi]
- Learning to Draw Samples with Amortized Stein Variational Gradient DescentYihao Feng, Dilin Wang, Qiang Liu 0001. [doi]
- Robust Model Equivalence using Stochastic Bisimulation for N-Agent Interactive DIDsMuthukumaran Chandrasekaran, Junhuan Zhang, Prashant Doshi, Yifeng Zeng. [doi]
- Synthesis of Strategies in Influence DiagramsManuel Luque, Manuel Arias, Francisco Javier Díez. [doi]
- Structure Learning of Linear Gaussian Structural Equation Models with Weak EdgesMarco Eigenmann, Preetam Nandy, Marloes H. Maathuis. [doi]
- Approximate Evidential Reasoning Using Local Conditioning and Conditional Belief FunctionsVan Nguyen. [doi]
- Embedding Senses via Dictionary BootstrappingByungkon Kang, Kyung-Ah Sohn. [doi]
- Approximation Complexity of Maximum A Posteriori Inference in Sum-Product NetworksDiarmaid Conaty, Cassio Polpo de Campos, Denis Deratani Mauá. [doi]
- Stochastic Bandit Models for Delayed ConversionsClaire Vernade, Olivier Cappé, Vianney Perchet. [doi]
- How Good Are My Predictions? Efficiently Approximating Precision-Recall Curves for Massive DatasetsAshish Sabharwal, Hanie Sedghi. [doi]
- Learning the Structure of Probabilistic Sentential Decision DiagramsYitao Liang, Jessa Bekker, Guy Van den Broeck. [doi]
- Monte-Carlo Tree Search using Batch Value of Perfect InformationShahaf S. Shperberg, Solomon Eyal Shimony, Ariel Felner. [doi]
- Iterative Decomposition Guided Variable Neighborhood Search for Graphical Model Energy MinimizationAbdelkader Ouali, David Allouche, Simon de Givry, Samir Loudni, Yahia Lebbah, Lakhdar Loukil. [doi]
- Holographic Feature Representations of Deep NetworksMartin A. Zinkevich, Alex Davies, Dale Schuurmans. [doi]
- Importance Sampled Stochastic Optimization for Variational InferenceJoseph Sakaya, Arto Klami. [doi]
- Inverse Reinforcement Learning via Deep Gaussian ProcessMing Jin, Andreas C. Damianou, Pieter Abbeel, Costas J. Spanos. [doi]
- Why Rules are Complex: Real-Valued Probabilistic Logic Programs are not Fully ExpressiveDavid Buchman, David Poole 0001. [doi]
- Stochastic L-BFGS Revisited: Improved Convergence Rates and Practical Acceleration StrategiesRenbo Zhao, William B. Haskell, Vincent Y. F. Tan. [doi]
- Neighborhood Regularized l^1-GraphYingzhen Yang, Jiashi Feng, Jiahui Yu, Jianchao Yang, Thomas S. Huang. [doi]
- Complexity of Solving Decision Trees with Skew-Symmetric Bilinear UtilityHugo Gilbert, Olivier Spanjaard. [doi]
- Hybrid Deep Discriminative/Generative Models for Semi-Supervised LearningVolodymyr Kuleshov, Stefano Ermon. [doi]
- Efficient solutions for Stochastic Shortest Path Problems with Dead EndsFelipe W. Trevizan, Florent Teichteil-Knigsbuch, Sylvie Thiébaux. [doi]
- Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training DataGintare Karolina Dziugaite, Daniel M. Roy. [doi]
- Stein Variational Adaptive Importance SamplingJun Han, Qiang Liu 0001. [doi]