| 2022 | A general class of surrogate functions for stable and efficient reinforcement learning. | Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mller, Shivam Garg, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux |
| 2022 | The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? | Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys |
| 2022 | Improved Approximation Algorithms for Individually Fair Clustering. | Ali Vakilian, Mustafa Yaliner |
| 2022 | Improved analysis of randomized SVD for top-eigenvector approximation. | Ruo-Chun Tzeng, Po-An Wang, Florian Adriaens, Aristides Gionis, Chi-Jen Lu |
| 2022 | Uncertainty Quantification for Bayesian Optimization. | Rui Tuo, Wenjia Wang |
| 2022 | New Coresets for Projective Clustering and Applications. | Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman |
| 2022 | Heavy-tailed Streaming Statistical Estimation. | Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar |
| 2022 | On Linear Model with Markov Signal Priors. | Lan V. Truong |
| 2022 | Point Cloud Generation with Continuous Conditioning. | Larissa T. Triess, Andre Bhler, David Peter, Fabian B. Flohr, Marius Zllner |
| 2022 | Bayesian Classifier Fusion with an Explicit Model of Correlation. | Susanne Trick, Constantin A. Rothkopf |
| 2022 | Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. | Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh |
| 2022 | Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion. | Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi |
| 2022 | Decoupling Local and Global Representations of Time Series. | Sana Tonekaboni, Chun-Liang Li, Sercan . Arik, Anna Goldenberg, Tomas Pfister |
| 2022 | Duel-based Deep Learning system for solving IQ tests. | Paulina Tomaszewska, Adam Zychowski, Jacek Mandziuk |
| 2022 | Double Control Variates for Gradient Estimation in Discrete Latent Variable Models. | Michalis K. Titsias, Jiaxin Shi |
| 2022 | Transfer Learning with Gaussian Processes for Bayesian Optimization. | Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska |
| 2022 | Primal-Dual Stochastic Mirror Descent for MDPs. | Daniil Tiapkin, Alexander V. Gasnikov |
| 2022 | Computing D-Stationary Points of ρ-Margin Loss SVM. | Lai Tian, Anthony Man-Cho So |
| 2022 | Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization. | Kiran Koshy Thekumparampil, Niao He, Sewoong Oh |
| 2022 | Optimal transport with f-divergence regularization and generalized Sinkhorn algorithm. | Dvid Terjk, Diego Gonzlez-Snchez |
| 2022 | Crowdsourcing Regression: A Spectral Approach. | Yaniv Tenzer, Omer Dror, Boaz Nadler, Erhan Bilal, Yuval Kluger |
| 2022 | Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis. | Jiaye Teng, Weiran Huang, Haowei He |
| 2022 | Adaptive Multi-Goal Exploration. | Jean Tarbouriech, Omar Darwiche Domingues, Pierre Mnard, Matteo Pirotta, Michal Valko, Alessandro Lazaric |
| 2022 | Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits. | Youming Tao, Yulian Wu, Peng Zhao, Di Wang |
| 2022 | Marginalized Operators for Off-policy Reinforcement Learning. | Yunhao Tang, Mark Rowland, Rmi Munos, Michal Valko |