| 2022 | Spectral risk-based learning using unbounded losses. | Matthew J. Holland, El Mehdi Haress |
| 2022 | On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms. | Nhat Ho, Tianyi Lin, Michael I. Jordan |
| 2022 | Weak Separation in Mixture Models and Implications for Principal Stratification. | Nhat Ho, Avi Feller, Evan Greif, Luke Miratrix, Natesh S. Pillai |
| 2022 | Tuning-Free Generalized Hamiltonian Monte Carlo. | Matthew D. Hoffman, Pavel Sountsov |
| 2022 | Lifted Division for Lifted Hugin Belief Propagation. | Moritz P. Hoffmann, Tanya Braun, Ralf Mller |
| 2022 | Nonstochastic Bandits and Experts with Arm-Dependent Delays. | Dirk van der Hoeven, Nicol Cesa-Bianchi |
| 2022 | Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback. | Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis |
| 2022 | Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs. | Jiafan He, Dongruo Zhou, Quanquan Gu |
| 2022 | REPID: Regional Effect Plots with implicit Interaction Detection. | Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio |
| 2022 | Provable Continual Learning via Sketched Jacobian Approximations. | Reinhard Heckel |
| 2022 | Lagrangian manifold Monte Carlo on Monge patches. | Marcelo Hartmann, Mark Girolami, Arto Klami |
| 2022 | Confident Least Square Value Iteration with Local Access to a Simulator. | Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvri |
| 2022 | Solving Multi-Arm Bandit Using a Few Bits of Communication. | Osama A. Hanna, Lin Yang, Christina Fragouli |
| 2022 | Marginalising over Stationary Kernels with Bayesian Quadrature. | Saad Hamid, Sebastian Schulze, Michael A. Osborne, Stephen J. Roberts |
| 2022 | On Convergence of Lookahead in Smooth Games. | Junsoo Ha, Gunhee Kim |
| 2022 | Learning Proposals for Practical Energy-Based Regression. | Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schn |
| 2022 | Learning Competitive Equilibria in Exchange Economies with Bandit Feedback. | Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica |
| 2022 | Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. | Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady |
| 2022 | Super-Acceleration with Cyclical Step-sizes. | Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa |
| 2022 | Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity. | Eduard Gorbunov, Nicolas Loizou, Gauthier Gidel |
| 2022 | Stochastic Extragradient: General Analysis and Improved Rates. | Eduard Gorbunov, Hugo Berard, Gauthier Gidel, Nicolas Loizou |
| 2022 | Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications. | Morgane Goibert, Stphan Clmenon, Ekhine Irurozki, Pavlo Mozharovskyi |
| 2022 | Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective. | Margalit R. Glasgow, Honglin Yuan, Tengyu Ma |
| 2022 | Asynchronous Distributed Optimization with Stochastic Delays. | Margalit R. Glasgow, Mary Wootters |
| 2022 | MLDemon: Deployment Monitoring for Machine Learning Systems. | Tony Ginart, Martin Jinye Zhang, James Zou |