| 2026 | Gradient-Variation Regret Bounds for Unconstrained Online Learning. | Yuheng Zhao, Andrew Jacobsen, Nicol Cesa-Bianchi, Peng Zhao |
| 2026 | Optimal Variance-Dependent Regret Bounds for Infinite-Horizon MDPs. | Guy Zamir, Matthew Zurek, Yudong Chen |
| 2026 | Stable algorithms Lower Bounds for Estimation from MMSE Discontinuities: Extended Abstract. | Xifan Yu, Ilias Zadik |
| 2026 | Distribution-Free Sequential Prediction with Abstentions. | Jialin Yu, Mose Blanchard |
| 2026 | Learning Decision-Sufficient Representations for Linear Optimization. | Yuhan Ye, Saurabh Amin, Asuman E. Ozdaglar |
| 2026 | Optimism Stabilizes Thompson Sampling for Adaptive Inference. | Shunxing Yan, Han Zhong |
| 2026 | Tight Sample Complexity of Transformers. | Chenxiao Yang, Nathan Srebro, Zhiyuan Li |
| 2026 | Worst-case Error Bounds for Online Learning of Smooth Functions. | Weian (Andrew) Xie |
| 2026 | Preface. | |
| 2026 | Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended abstract). | Tianhao Wu, Matthew Zurek, Weina Wang, Qiaomin Xie |
| 2026 | Risk Comparisons in Linear Regression: Implicit Regularization Dominates Explicit Regularization (Extended Abstract). | Jingfeng Wu, Peter L. Bartlett, Sham M. Kakade, Jason D. Lee, Bin Yu |
| 2026 | A simple, optimal and efficient algorithm for online exp-concave optimization. | Yi-Han Wang, Peng Zhao, Zhi-Hua Zhou |
| 2026 | Diffusion-Network Alignment: An Efficient Algorithm and Explicit Probability Bounds. | Ziao Wang, Lei Ying |
| 2026 | Accelerated Convex Optimization via Hamiltonian Dynamics with Deterministic Integration Time. | Xiuyuan Wang, Vishwak Srinivasan, Qiang Fu, Siddharth Mitra, Andre Wibisono, Ashia Wilson |
| 2026 | Almost sure null bankruptcy of testing-by-betting strategies. | Hongjian Wang, Shubhada Agrawal, Aaditya Ramdas |
| 2026 | Fast Score-Based Sampling via Log-Concave Reductions. | Martin J. Wainwright |
| 2026 | Learning with Simulators: No Regret in a Computationally Bounded World. | Sasha Voitovych, Abhishek Shetty, Noah Golowich, Alexander Rakhlin |
| 2026 | The Geometry of Efficient Nonconvex Sampling. | Santosh S. Vempala, Andre Wibisono |
| 2026 | On-Average Stability of Multipass Preconditioned SGD and Effective Dimension. | Simon Vary, Tyler Farghly, Ilja Kuzborskij, Patrick Rebeschini |
| 2026 | The Monotonicity of the Franz-Parisi Potential Is Equivalent to Low-Degree MMSE Lower Bounds: Extended Abstract. | Konstantinos Tsirkas, Leda Wang, Ilias Zadik |
| 2026 | Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear q | Volodymyr Tkachuk, Csaba Szepesvri, Xiaoqi Tan |
| 2026 | When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks. | Berk Tinaz, Changzhi Xie, Mahdi Soltanolkotabi |
| 2026 | On the Asymptotics of Self-Supervised Pre-training: Two-Stage M-Estimation and Representation Symmetry. | Mohammad Tinati, Stephen Tu |
| 2026 | CONVERGENCE RATES FOR DISTRIBUTION MATCHING WITH SLICED OPTIMAL TRANSPORT. | Gauthier Thurin, Claire Boyer, Kimia Nadjahi |
| 2026 | Data Augmentation: A Fourier Analysis Perspective. | Behrooz Tahmasebi, Melanie Weber, Stefanie Jegelka |