Lesi Chen

22 papers A* 8A 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Faster Gradient Methods for Highly-smooth Stochastic Bilevel Optimization.
CoRR
Lesi Chen, Junru Li, Jingzhao Zhang
2025 J jnl
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles.
J. Mach. Learn. Res.
Lesi Chen, Yaohua Ma, Jingzhao Zhang
2025 J jnl
On the Condition Number Dependency in Bilevel Optimization.
CoRR
Lesi Chen, Jingzhao Zhang
2025 A* conf
Second-Order Min-Max Optimization with Lazy Hessians.
ICLR
Lesi Chen, Chengchang Liu, Jingzhao Zhang
2025 A* conf
Solving Convex-Concave Problems with 풪(ε
COLT
Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang
2025 J jnl
Solving Convex-Concave Problems with 𝒪(ε
CoRR
Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang
2024 A conf
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.
AISTATS
Lesi Chen, Haishan Ye, Luo Luo
2024 A* conf
Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers.
ICML
Yuxing Liu, Lesi Chen, Luo Luo
2024 A* conf
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem.
NeurIPS
Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang
2024 J jnl
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems.
CoRR
Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang
2024 J jnl
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization.
J. Mach. Learn. Res.
Lesi Chen, Luo Luo
2024 A* conf
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis.
COLT
Lesi Chen, Jing Xu, Jingzhao Zhang
2024 J jnl
Second-Order Min-Max Optimization with Lazy Hessians.
CoRR
Lesi Chen, Chengchang Liu, Jingzhao Zhang
2023 A* conf
Communication Efficient Distributed Newton Method with Fast Convergence Rates.
KDD
Chengchang Liu, Lesi Chen, Luo Luo, John C. S. Lui
2023 A* conf
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization.
ICML
Lesi Chen, Jing Xu, Luo Luo
2023 J jnl
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization.
CoRR
Lesi Chen, Jing Xu, Luo Luo
2023 J jnl
Faster Stochastic Algorithms for Minimax Optimization under Polyak-Łojasiewicz Conditions.
CoRR
Lesi Chen, Boyuan Yao, Luo Luo
2023 J jnl
Near-Optimal Fully First-Order Algorithms for Finding Stationary Points in Bilevel Optimization.
CoRR
Lesi Chen, Yaohua Ma, Jingzhao Zhang
2023 J jnl
On Bilevel Optimization without Lower-level Strong Convexity.
CoRR
Lesi Chen, Jing Xu, Jingzhao Zhang
2022 J jnl
A Simple and Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.
CoRR
Lesi Chen, Haishan Ye, Luo Luo
2022 A* conf
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition.
NeurIPS
Lesi Chen, Boyuan Yao, Luo Luo
2022 J jnl
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization.
CoRR
Lesi Chen, Luo Luo