Fan Chen
Ph.D. student
MIT
Email: fanchen@mit.edu
About me
I am a Ph.D. student at MIT, working on statistics and theoretical machine learning. I am very fortunate to be advised by Alexander Rakhlin and Constantinos Daskalakis.
In June 2023, I obtained my Bachelor’s Degree at Peking University, where I enjoyed my amazing time working with Song Mei, Yu Bai, and Zaiwen Wen, Junyu Zhang.
Preprints and Publications
On the Optimal Lower and Upper Complexity Bounds for a Class of Composite Optimization Problem
Zhenyuan Zhu, Fan Chen, Junyu Zhang, Zaiwen Wen (2023). In submission.
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei (2023). NeurIPS 2023 (Oral). [Code]
Lower Bounds for Learning in Revealing POMDPs
Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai (2023). ICML 2023.
A Unified Primal-Dual Algorithm Framework for Inequality Constrained Problems
Zhenyuan Zhu, Fan Chen, Junyu Zhang, Zaiwen Wen (2022). Journal of Scientific Computing.
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
Fan Chen, Song Mei, Yu Bai (2022). ICLR 2023 (Notable-top-25% / “Spotlight”).
Unified Algorithms for RL with Decision-Estimation Coefficients: No-Regret, PAC, and Reward-Free Learning
Fan Chen, Song Mei, Yu Bai (2022). Preprint. [RL Seminar]
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
Fan Chen, Junyu Zhang, Zaiwen Wen (2022). NeurIPS 2022.
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization
Shicong Cen, Fan Chen, Yuejie Chi (2022). CDC 2022.
Education
Ph.D. student, MIT
Computer Science
2023 - Now
Undergrad, Peking University
Computational Math
2019 - 2023