Publications
You can find my articles on my Google Scholar.
* denotes equal contributions.
Preprints
Second-Order Min-Max Optimization with Lazy Hessians.
Lesi Chen*, Chengchang Liu*, and Jingzhao Zhang. [arXiv 2024]Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles.
Lesi Chen*, Yaohua Ma*, and Jingzhao Zhang. [arXiv 2023]Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization.
Lesi Chen and Luo Luo. [arXiv 2022]
Publications
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems.
Huaqing Zhang* Lesi Chen*, Jing Xu, and Jingzhao Zhang. [NeurIPS 2024]On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis.
Lesi Chen*, Jing Xu*, and Jingzhao Zhang. [COLT 2024]Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers.
Yuxing Liu, Lesi Chen, and Luo Luo. [ICML 2024]An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.
Lesi Chen, Haishan Ye, and Luo Luo. [AISTATS 2024]Communication Efficient Distributed Newton Method with Fast Convergence Rates.
Chengchang Liu, Lesi Chen, Luo Luo, and John C.S. Lui. [SIGKDD 2023]Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization.
Lesi Chen, Jing Xu, and Luo Luo. [ICML 2023]Faster Stochastic Algorithms for Minimax Optimization under Polyak-Łojasiewicz Condition.
Lesi Chen, Boyuan Yao, and Luo Luo. [NeurIPS 2022]