| 2022 | A Model Selection Approach for Corruption Robust Reinforcement Learning. | Chen-Yu Wei, Christoph Dann, Julian Zimmert |
| 2022 | Faster Rates of Private Stochastic Convex Optimization. | Jinyan Su, Lijie Hu, Di Wang |
| 2022 | Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability. | Aadirupa Saha, Akshay Krishnamurthy |
| 2022 | Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources. | Benjamin Roussillon, Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos |
| 2022 | Scale-Free Adversarial Multi Armed Bandits. | Sudeep Raja Putta, Shipra Agrawal |
| 2022 | Infinitely Divisible Noise in the Low Privacy Regime. | Rasmus Pagh, Nina Mesing Stausholm |
| 2022 | Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets. | Depen Morwani, Harish G. Ramaswamy |
| 2022 | Global Riemannian Acceleration in Hyperbolic and Spherical Spaces. | David Martnez-Rubio |
| 2022 | On the Initialization for Convex-Concave Min-max Problems. | Mingrui Liu, Francesco Orabona |
| 2022 | The Mirror Langevin Algorithm Converges with Vanishing Bias. | Ruilin Li, Molei Tao, Santosh S. Vempala, Andre Wibisono |
| 2022 | On the Last Iterate Convergence of Momentum Methods. | Xiaoyu Li, Mingrui Liu, Francesco Orabona |
| 2022 | Improved rates for prediction and identification of partially observed linear dynamical systems. | Holden Lee |
| 2022 | Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally. | Pravesh K. Kothari, Peter Manohar, Brian Hu Zhang |
| 2022 | Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. | Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li |
| 2022 | Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure. | Hsu Kao, Chen-Yu Wei, Vijay G. Subramanian |
| 2022 | Adversarial Interpretation of Bayesian Inference. | Hisham Husain, Jeremias Knoblauch |
| 2022 | Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability. | Lunjia Hu, Charlotte Peale, Omer Reingold |
| 2022 | Distinguishing Relational Pattern Languages With a Small Number of Short Strings. | Robert C. Holte, S. Mahmoud Mousawi, Sandra Zilles |
| 2022 | Distributed Online Learning for Joint Regret with Communication Constraints. | Dirk van der Hoeven, Hdi Hadiji, Tim van Erven |
| 2022 | Universally Consistent Online Learning with Arbitrarily Dependent Responses. | Steve Hanneke |
| 2022 | Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems. | Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni |
| 2022 | Efficient and Optimal Fixed-Time Regret with Two Experts. | Laura Greenstreet, Nicholas J. A. Harvey, Victor Sanches Portella |
| 2022 | Multicalibrated Partitions for Importance Weights. | Parikshit Gopalan, Omer Reingold, Vatsal Sharan, Udi Wieder |
| 2022 | Privacy Amplification via Shuffling for Linear Contextual Bandits. | Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, Matteo Pirotta |
| 2022 | Beyond Bernoulli: Generating Random Outcomes that cannot be Distinguished from Nature. | Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona |