| 2026 | On the Stability of Nonlinear Dynamics in GD and SGD: Beyond Quadratic Potentials. | Rotem Mulayoff, Sebastian U. Stich |
| 2026 | Steering diffusion models with quadratic rewards: a fine-grained analysis. | Ankur Moitra, Andrej Risteski, Dhruv Rohatgi |
| 2026 | On the implicit regularization of Langevin dynamics with projected noise. | Govind Menon, Austin J. Stromme, Adrien Vacher |
| 2026 | On the Gradient Complexity of Private Optimization with Private Oracles. | Michael Menart, Aleksandar Nikolov |
| 2026 | Differentially Private Language Generation and Identification in the Limit (Extended Abstract). | Anay Mehrotra, Grigoris Velegkas, Xifan Yu, Felix Zhou |
| 2026 | Language Generation with Infinite Contamination. | Anay Mehrotra, Grigoris Velegkas, Xifan Yu, Felix Zhou |
| 2026 | On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits. | Leo Maynard-Zhang, Zhihan Xiong, Kevin Jamieson, Maryam Fazel |
| 2026 | Phase Transition in Convex Relaxations for Graph Alignment. | Laurent Massouli, Sushil Mahavir Varma, Louis Vassaux, Irne Waldspurger |
| 2026 | Polynomial-time sampling despite disorder chaos. | Eric Ma, Tselil Schramm |
| 2026 | Online Market Making and the Value of Observing the Order Book. | Davide Maran, Marcello Restelli |
| 2026 | On the Power of Adaptivity for ε-Best Arm Identification in Linear Bandits. | Arnab Maiti, Yunbei Xu, Kevin Jamieson |
| 2026 | Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity. | Hengrui Luo, Anna Ma, Ludovic Stephan, Yizhe Zhu |
| 2026 | Second-Order Bounds for [0, 1]-Valued Regression via Betting Loss. | Yinan Li, Sungjoon Yoon, Ethan Huang, Kwang-Sung Jun |
| 2026 | Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup-Stable-Decay (Extended Abstract). | Binghui Li, Zilin Wang, Fengling Chen, Shiyang Zhao, Ruiheng Zheng, Lei Wu |
| 2026 | Fast algorithms for learning a Gaussian under halfspace truncation with optimal sample complexity. | Haitong Liu, Deepak Narayanan Sridharan, David Steurer, Manuel Wiedmer |
| 2026 | Regret Minimization with Adaptive Opponents in Repeated Games. | Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu, Kaiqing Zhang |
| 2026 | Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation. | Junyan Liu, Haipeng Luo, Zihan Zhang, Lillian J. Ratliff |
| 2026 | Random Reshuffling Dominates Stochastic Gradient Descent. | Zijian Liu |
| 2026 | Self-Concordant Perturbations for Linear Bandits. | Lucas Lvy, Jean-Lou Valeau, Arya Akhavan, Patrick Rebeschini |
| 2026 | A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak-Ruppert Averaging. | Wei-Cheng Lee, Francesco Orabona |
| 2026 | Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning. | Harin Lee, Min-hwan Oh |
| 2026 | Blackwell Approachability and Gradient Equilibrium are Equivalent. | Brian W. Lee, Nika Haghtalab, Michael I. Jordan, Ryan J. Tibshirani |
| 2026 | Adaptive Learning Rates with Surrogate Probability for Follow-the-Perturbed-Leader. | Jongyeong Lee, Junya Honda, Shinji Ito, Chansoo Kim |
| 2026 | Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation? | Ivan Lau, Jonathan Scarlett |
| 2026 | How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression? | Kuo-Wei Lai, Guanghui Wang, Molei Tao, Vidya Muthukumar |