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Lesi Chen
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 11
Top Topics
Newton Method
Convergence Rate
Globally Convergent
Stochastic Optimization
Top Venues
CoRR
AISTATS
KDD
ICML
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Publications
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Lesi Chen
,
Jing Xu
,
Jingzhao Zhang
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis.
COLT
(2024)
Lesi Chen
,
Haishan Ye
,
Luo Luo
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.
AISTATS
(2024)
Lesi Chen
,
Boyuan Yao
,
Luo Luo
Faster Stochastic Algorithms for Minimax Optimization under Polyak-Łojasiewicz Conditions.
CoRR
(2023)
Lesi Chen
,
Jing Xu
,
Luo Luo
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization.
CoRR
(2023)
Chengchang Liu
,
Lesi Chen
,
Luo Luo
,
John C. S. Lui
Communication Efficient Distributed Newton Method with Fast Convergence Rates.
KDD
(2023)
Lesi Chen
,
Yaohua Ma
,
Jingzhao Zhang
Near-Optimal Fully First-Order Algorithms for Finding Stationary Points in Bilevel Optimization.
CoRR
(2023)
Lesi Chen
,
Jing Xu
,
Jingzhao Zhang
On Bilevel Optimization without Lower-level Strong Convexity.
CoRR
(2023)
Lesi Chen
,
Jing Xu
,
Luo Luo
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization.
ICML
(2023)
Lesi Chen
,
Luo Luo
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization.
CoRR
(2022)
Lesi Chen
,
Boyuan Yao
,
Luo Luo
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition.
NeurIPS
(2022)
Lesi Chen
,
Haishan Ye
,
Luo Luo
A Simple and Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization.
CoRR
(2022)