| Transformers as statisticians: Provable in-context learning with in-context algorithm selection Y Bai, F Chen, H Wang, C Xiong, S Mei Advances in neural information processing systems 36, 57125-57211, 2023 | 337 | 2023 |
| Unified algorithms for RL with Decision-Estimation Coefficients: PAC, reward-free, preference-based learning and beyond F Chen, S Mei, Y Bai The Annals of Statistics 53 (1), 426-456, 2025 | 50* | 2025 |
| Partially observable rl with b-stability: Unified structural condition and sharp sample-efficient algorithms F Chen, Y Bai, S Mei arXiv preprint arXiv:2209.14990, 2022 | 36 | 2022 |
| Independent natural policy gradient methods for potential games: Finite-time global convergence with entropy regularization S Cen, F Chen, Y Chi 2022 IEEE 61st Conference on Decision and Control (CDC), 2833-2838, 2022 | 23 | 2022 |
| Lower bounds for learning in revealing pomdps F Chen, H Wang, C Xiong, S Mei, Y Bai International Conference on Machine Learning, 5104-5161, 2023 | 20 | 2023 |
| A near-optimal primal-dual method for off-policy learning in cmdp F Chen, J Zhang, Z Wen Advances in Neural Information Processing Systems 35, 10521-10532, 2022 | 15 | 2022 |
| A unified primal-dual algorithm framework for inequality constrained problems Z Zhu, F Chen, J Zhang, Z Wen Journal of Scientific Computing 97 (2), 39, 2023 | 11 | 2023 |
| Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability F Chen, DJ Foster, Y Han, J Qian, A Rakhlin, Y Xu Advances in Neural Information Processing Systems 37, 75585-75641, 2024 | 10 | 2024 |
| Near-optimal learning and planning in separated latent mdps F Chen, C Daskalakis, N Golowich, A Rakhlin The Thirty Seventh Annual Conference on Learning Theory, 995-1067, 2024 | 6 | 2024 |
| Decision making in changing environments: Robustness, query-based learning, and differential privacy F Chen, A Rakhlin arXiv preprint arXiv:2501.14928, 2025 | 4 | 2025 |
| On the optimal lower and upper complexity bounds for a class of composite optimization problems Z Zhu, F Chen, J Zhang, Z Wen arXiv preprint arXiv:2308.06470, 2023 | 4 | 2023 |
| Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits F Chen, Z Jia, A Rakhlin, T Xie arXiv preprint arXiv:2505.20268, 2025 | 3 | 2025 |
| The Coverage Principle: How Pre-Training Enables Post-Training F Chen, A Huang, N Golowich, S Malladi, A Block, JT Ash, ... arXiv preprint arXiv:2510.15020, 2025 | 2 | 2025 |
| Diffem: Learning from corrupted data with diffusion models via expectation maximization D Hosseintabar, F Chen, G Daras, A Torralba, C Daskalakis arXiv preprint arXiv:2510.12691, 2025 | 2 | 2025 |
| Near-optimal private learning in linear contextual bandits F Chen, J Li, A Rakhlin, D Simchi-Levi arXiv preprint arXiv:2502.13115v1, 2025 | 2 | 2025 |
| Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning Y Yuan, F Chen, Z Jia, A Rakhlin, T Xie arXiv preprint arXiv:2505.15311, 2025 | 1 | 2025 |
| Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression F Chen, J Li, A Rakhlin, D Simchi-Levi arXiv preprint arXiv:2502.13115v2, 2025 | | 2025 |
