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, 2024 | 165 | 2024 |
Unified algorithms for rl with decision-estimation coefficients: No-regret, pac, and reward-free learning F Chen, S Mei, Y Bai arXiv preprint arXiv:2209.11745, 2022 | 37 | 2022 |
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 | 24 | 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 | 15 | 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 | 14 | 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 | 9 | 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 | 6 | 2023 |
Near-Optimal Learning and Planning in Separated Latent MDPs F Chen, C Daskalakis, N Golowich, A Rakhlin arXiv preprint arXiv:2406.07920, 2024 | 1 | 2024 |
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 arXiv preprint arXiv:2410.05117, 2024 | | 2024 |
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 | | 2023 |