| 2022 | Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise. | Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis |
| 2022 | Neural Contextual Bandits without Regret. | Parnian Kassraie, Andreas Krause |
| 2022 | DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search. | Matti Karppa, Martin Aumller, Rasmus Pagh |
| 2022 | Using time-series privileged information for provably efficient learning of prediction models. | Rickard K. A. Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag, Fredrik Johansson |
| 2022 | Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning. | Hsu Kao, Vijay G. Subramanian |
| 2022 | Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees. | Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike |
| 2022 | Multivariate Quantile Function Forecaster. | Kelvin Kan, Franois-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus |
| 2022 | Stateful Offline Contextual Policy Evaluation and Learning. | Nathan Kallus, Angela Zhou |
| 2022 | Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning. | Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone |
| 2022 | Federated Reinforcement Learning with Environment Heterogeneity. | Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang |
| 2022 | Optimal channel selection with discrete QCQP. | Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song |
| 2022 | Minimal Expected Regret in Linear Quadratic Control. | Yassir Jedra, Alexandre Proutire |
| 2022 | PAC Mode Estimation using PPR Martingale Confidence Sequences. | Shubham Anand Jain, Rohan Shah, Sanit Gupta, Denil Mehta, Inderjeet J. Nair, Jian Vora, Sushil Khyalia, Sourav Das, Vinay J. Ribeiro, Shivaram Kalyanakrishnan |
| 2022 | Online Learning for Unknown Partially Observable MDPs. | Mehdi Jafarnia-Jahromi, Rahul Jain, Ashutosh Nayyar |
| 2022 | How to Learn when Data Gradually Reacts to Your Model. | Zachary Izzo, James Zou, Lexing Ying |
| 2022 | An Information-Theoretic Justification for Model Pruning. | Berivan Isik, Tsachy Weissman, Albert No |
| 2022 | Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates. | Nicholas J. Irons, Meyer Scetbon, Soumik Pal, Zad Harchaoui |
| 2022 | Online Page Migration with ML Advice. | Piotr Indyk, Frederik Mallmann-Trenn, Slobodan Mitrovic, Ronitt Rubinfeld |
| 2022 | Multiway Spherical Clustering via Degree-Corrected Tensor Block Models. | Jiaxin Hu, Miaoyan Wang |
| 2022 | Off-Policy Risk Assessment for Markov Decision Processes. | Audrey Huang, Liu Leqi, Zachary C. Lipton, Kamyar Azizzadenesheli |
| 2022 | On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction. | Jiawei Huang, Nan Jiang |
| 2022 | Fast Fourier Transform Reductions for Bayesian Network Inference. | Vincent Hsiao, Dana S. Nau, Rina Dechter |
| 2022 | Deep Neyman-Scott Processes. | Chengkuan Hong, Christian R. Shelton |
| 2022 | Thompson Sampling with a Mixture Prior. | Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier |
| 2022 | Hierarchical Bayesian Bandits. | Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh |