| 2020 | Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison. | Tengyang Xie, Nan Jiang |
| 2020 | Optimal Statistical Hypothesis Testing for Social Choice. | Lirong Xia |
| 2020 | Probabilistic Safety for Bayesian Neural Networks. | Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska |
| 2020 | Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. | Yue Wang, Shaofeng Zou |
| 2020 | Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models. | Xi Wang, Junming Yin |
| 2020 | Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. | Michael Wan, Tanmay Gangwani, Jian Peng |
| 2020 | Layering-MCMC for Structure Learning in Bayesian Networks. | Jussi Viinikka, Mikko Koivisto |
| 2020 | Adapting Text Embeddings for Causal Inference. | Victor Veitch, Dhanya Sridhar, David M. Blei |
| 2020 | Graphical continuous Lyapunov models. | Gherardo Varando, Niels Richard Hansen |
| 2020 | Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples. | Saeed Vahidian, Baharan Mirzasoleiman, Alexander Cloninger |
| 2020 | Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks. | Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin |
| 2020 | Compositional uncertainty in deep Gaussian processes. | Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill D. F. Campbell, Carl Henrik Ek |
| 2020 | Stable Policy Optimization via Off-Policy Divergence Regularization. | Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent |
| 2020 | Stochastic Variational Inference for Dynamic Correlated Topic Models. | Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas-Roelleke, Zhenwen Dai |
| 2020 | Semi-supervised Sequential Generative Models. | Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood |
| 2020 | Active Model Estimation in Markov Decision Processes. | Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric |
| 2020 | Submodular Bandit Problem Under Multiple Constraints. | Sho Takemori, Masahiro Sato, Takashi Sonoda, Janmajay Singh, Tomoko Ohkuma |
| 2020 | On the design of consequential ranking algorithms. | Behzad Tabibian, Vicen Gmez, Abir De, Bernhard Schlkopf, Manuel Gomez Rodriguez |
| 2020 | Amortized Bayesian Optimization over Discrete Spaces. | Kevin Swersky, Yulia Rubanova, David Dohan, Kevin Murphy |
| 2020 | Learning Intrinsic Rewards as a Bi-Level Optimization Problem. | Bradly C. Stadie, Lunjun Zhang, Jimmy Ba |
| 2020 | Permutation-Based Causal Structure Learning with Unknown Intervention Targets. | Chandler Squires, Yuhao Wang, Caroline Uhler |
| 2020 | Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework. | Rishabh Singh, Jos C. Prncipe |
| 2020 | Complete Dictionary Learning via ℓ | Yifei Shen, Ye Xue, Jun Zhang, Khaled B. Letaief, Vincent Lau |
| 2020 | One-Bit Compressed Sensing via One-Shot Hard Thresholding. | Jie Shen |
| 2020 | Static and Dynamic Values of Computation in MCTS. | Eren Sezener, Peter Dayan |