Lesi Chen

According to our database, Lesi Chen authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Second-Order Min-Max Optimization with Lazy Hessians.

Lesi Chen, Chengchang Liu, Jingzhao Zhang

CoRR, 2024

Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems.

Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang

CoRR, 2024

Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers.

Yuxing Liu, Lesi Chen, Luo Luo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis.

Lesi Chen, Jing Xu, Jingzhao Zhang

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.

Lesi Chen, Haishan Ye, Luo Luo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Faster Stochastic Algorithms for Minimax Optimization under Polyak-Łojasiewicz Conditions.

Lesi Chen, Boyuan Yao, Luo Luo

CoRR, 2023

Near-Optimal Fully First-Order Algorithms for Finding Stationary Points in Bilevel Optimization.

Lesi Chen, Yaohua Ma, Jingzhao Zhang

CoRR, 2023

On Bilevel Optimization without Lower-level Strong Convexity.

Lesi Chen, Jing Xu, Jingzhao Zhang

CoRR, 2023

Communication Efficient Distributed Newton Method with Fast Convergence Rates.

Chengchang Liu, Lesi Chen, Luo Luo, John C. S. Lui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization.

Lesi Chen, Jing Xu, Luo Luo

Proceedings of the International Conference on Machine Learning, 2023

2022

A Simple and Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.

Lesi Chen, Haishan Ye, Luo Luo

CoRR, 2022

Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization.

Lesi Chen, Luo Luo

CoRR, 2022

Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition.

Lesi Chen, Boyuan Yao, Luo Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022