Chris Junchi Li

Chris Junchi Li

University of California, Berkeley

H-index: 13

North America-United States

About Chris Junchi Li

Chris Junchi Li, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of machine learning, stochastic optimization, applied probability, statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A General Continuous-Time Formulation of Stochastic ADMM and Its Variants

Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure

Nonconvex stochastic scaled gradient descent and generalized eigenvector problems

A general framework for sample-efficient function approximation in reinforcement learning

Accelerating inexact hypergradient descent for bilevel optimization

Optimal Extragradient-Based Stochastic Bilinearly-Coupled Saddle-Point Optimization

Root-sgd: Sharp nonasymptotics and asymptotic efficiency in a single algorithm

On the convergence of stochastic extragradient for bilinear games using restarted iteration averaging

Chris Junchi Li Information

University

Position

___

Citations(all)

1101

Citations(since 2020)

1010

Cited By

380

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

15

i10Index(since 2020)

13

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Chris Junchi Li Skills & Research Interests

machine learning

stochastic optimization

applied probability

statistics

Top articles of Chris Junchi Li

Title

Journal

Author(s)

Publication Date

A General Continuous-Time Formulation of Stochastic ADMM and Its Variants

arXiv preprint arXiv:2404.14358

Chris Junchi Li

2024/4/22

Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure

Advances in Neural Information Processing Systems

Angela Yuan

Chris Junchi Li

Gauthier Gidel

Michael Jordan

Quanquan Gu

...

2024/2/13

Nonconvex stochastic scaled gradient descent and generalized eigenvector problems

Chris Junchi Li

Michael I Jordan

2023/7/2

A general framework for sample-efficient function approximation in reinforcement learning

arXiv preprint arXiv:2209.15634

Zixiang Chen

Chris Junchi Li

Angela Yuan

Quanquan Gu

Michael I Jordan

2022/9/30

Accelerating inexact hypergradient descent for bilevel optimization

Haikuo Yang

Luo Luo

Chris Junchi Li

Michael Jordan

Maryam Fazel

2023/12/13

Optimal Extragradient-Based Stochastic Bilinearly-Coupled Saddle-Point Optimization

Simon S Du

Gauthier Gidel

Michael I Jordan

Chris Junchi Li

2022/10/20

Root-sgd: Sharp nonasymptotics and asymptotic efficiency in a single algorithm

Chris Junchi Li

Wenlong Mou

Martin Wainwright

Michael Jordan

2022/6/28

On the convergence of stochastic extragradient for bilinear games using restarted iteration averaging

Chris Junchi Li

Yaodong Yu

Nicolas Loizou

Gauthier Gidel

Yi Ma

...

2022/5/3

Stochastic approximation for online tensorial independent component analysis

Chris Junchi Li

Michael Jordan

2021/7/21

On the fast convergence of random perturbations of the gradient flow

Asymptotic Analysis

Jiaojiao Yang

Wenqing Hu

Chris Junchi Li

2021/1/1

On linear stochastic approximation: Fine-grained Polyak-Ruppert and non-asymptotic concentration

Wenlong Mou

Chris Junchi Li

Martin J Wainwright

Peter L Bartlett

Michael I Jordan

2020/7/15

Stochastic modified equations for continuous limit of stochastic ADMM

arXiv preprint arXiv:2003.03532

Xiang Zhou

Huizhuo Yuan

Chris Junchi Li

Qingyun Sun

2020/3/7

See List of Professors in Chris Junchi Li University(University of California, Berkeley)