Chris Junchi Li
16 papers · 2016–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (8)
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(24)
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Cross-Pollinator
(8)
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Triple Crown
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Unstoppable
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Keyword Collector
(79)
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Century Club
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Conferences
NIPS (6)
COLT (3)
ICML (3)
AISTATS (2)
ICLR (1)
UAI (1)
Top co-authors
Keywords
stochastic gradient descent
(8)
stochastic optimization
(3)
nonconvex optimization
(3)
non-convex optimization
(3)
minimax optimization
(2)
diffusion approximation
(2)
nesterov acceleration
(2)
complexity bound
(2)
finite-sample error bound
(2)
independent component analysis
(2)
nash equilibrium
(2)
global convergence
(1)
online learning
(1)
convergence analysis
(1)
function approximation
(1)
principal component analysis
(1)
representation learning
(1)
diffusion process
(1)
variational inequality
(1)
tensor decomposition
(1)
Papers
Nonconvex stochastic scaled gradient descent and generalized eigenvector problems
UAI 2023
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure
NIPS 2023
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
ICML 2023
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
ICLR 2023
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
AISTATS 2022
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium
NIPS 2022
ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm
COLT 2022
Stochastic Approximation for Online Tensorial Independent Component Analysis
COLT 2021
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
COLT 2020
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory
ICML 2019
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
NIPS 2019
Statistical Sparse Online Regression: A Diffusion Approximation Perspective
AISTATS 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
NIPS 2018
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability
ICML 2017
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
NIPS 2017
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
NIPS 2016