Yudong Chen

Yudong Chen

Cornell University

H-index: 37

North America-United States

About Yudong Chen

Yudong Chen, With an exceptional h-index of 37 and a recent h-index of 32 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Machine Learning, Optimization.

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

Unichain and Aperiodicity are Sufficient for Asymptotic Optimality of Average-Reward Restless Bandits

Clustering Without an Eigengap

Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption

Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference

Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure

VISER: A Tractable Solution Concept for Games with Information Asymmetry

Span-Based Optimal Sample Complexity for Average Reward MDPs

Clustering Heterogeneous Financial Networks

Yudong Chen Information

University

Position

Assistant Professor

Citations(all)

8672

Citations(since 2020)

5999

Cited By

4830

hIndex(all)

37

hIndex(since 2020)

32

i10Index(all)

62

i10Index(since 2020)

50

Email

University Profile Page

Cornell University

Google Scholar

View Google Scholar Profile

Yudong Chen Skills & Research Interests

Machine Learning

Optimization

Top articles of Yudong Chen

Title

Journal

Author(s)

Publication Date

Unichain and Aperiodicity are Sufficient for Asymptotic Optimality of Average-Reward Restless Bandits

arXiv preprint arXiv:2402.05689

Yige Hong

Qiaomin Xie

Yudong Chen

Weina Wang

2024/2/8

Clustering Without an Eigengap

arXiv preprint arXiv:2308.15642

Matthew Zurek

Yudong Chen

2023/8/29

Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption

arXiv preprint arXiv:2306.00196

Yige Hong

Qiaomin Xie

Yudong Chen

Weina Wang

2023/5/31

Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference

arXiv preprint arXiv:2312.10894

Dongyan Huo

Yudong Chen

Qiaomin Xie

2023/12/18

Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure

arXiv preprint arXiv:2305.15621

Xumei Xi

Christina Lee Yu

Yudong Chen

2023/5/24

VISER: A Tractable Solution Concept for Games with Information Asymmetry

arXiv preprint arXiv:2307.09652

Jeremy McMahan

Young Wu

Yudong Chen

Xiaojin Zhu

Qiaomin Xie

2023/7/18

Span-Based Optimal Sample Complexity for Average Reward MDPs

arXiv preprint arXiv:2311.13469

Matthew Zurek

Yudong Chen

2023/11/22

Clustering Heterogeneous Financial Networks

Mathematical Finance

Hamed Amini

Yudong Chen

Andreea Minca

Xin Qian

2024/4

Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements

Emmanouil Vasileios Vlatakis-Gkaragkounis

Angeliki Giannou

Yudong Chen

Qiaomin Xie

2024/4/18

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value

arXiv preprint arXiv:2311.00582

Young Wu

Jeremy McMahan

Yiding Chen

Yudong Chen

Xiaojin Zhu

...

2023/11/1

Entry-Specific Bounds for Low-Rank Matrix Completion under Highly Non-Uniform Sampling

Xumei Xi

Christina Lee Yu

Yudong Chen

2023/6/25

Revisiting Familiar Places in an Infinite World: Continuing RL in Unbounded State Spaces

Brahma S Pavse

Yudong Chen

Qiaomin Xie

Josiah P Hanna

2023/10/13

Tackling Unbounded State Spaces in Continuing Task Reinforcement Learning

arXiv preprint arXiv:2306.01896

Brahma S Pavse

Yudong Chen

Qiaomin Xie

Josiah P Hanna

2023/6/2

On the scalability and memory efficiency of semidefinite programs for Lipschitz constant estimation of neural networks

Zi Wang

Aaron J Havens

Alexandre Araujo

Yang Zheng

Bin Hu

...

2023/10/13

Algorithmic regularization in model-free overparametrized asymmetric matrix factorization

arXiv preprint arXiv:2203.02839

Liwei Jiang

Yudong Chen

Lijun Ding

2022/3/6

A Geometric Approach to -means

arXiv preprint arXiv:2201.04822

Jiazhen Hong

Wei Qian

Yudong Chen

Yuqian Zhang

2022/1/13

Matrix Estimation for Offline Evaluation in Reinforcement Learning with Low-Rank Structure

Xumei Xi

Christina Yu

Yudong Chen

2022

Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes

arXiv preprint arXiv:2210.00953

Dongyan (Lucy) Huo

Yudong Chen

Qiaomin Xie

2022/10/3

Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure

arXiv preprint arXiv:2206.03569

Tyler Sam

Yudong Chen

Christina Lee Yu

2022/6/7

Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery

Lijun Ding

Liwei Jiang

Yudong Chen

Qing Qu

Zhihui Zhu

2021/9/23

See List of Professors in Yudong Chen University(Cornell University)

Co-Authors

H-index: 114
Jiashi Feng

Jiashi Feng

National University of Singapore

H-index: 101
Kannan Ramchandran

Kannan Ramchandran

University of California, Berkeley

H-index: 83
Peter Bartlett

Peter Bartlett

University of California, Berkeley

H-index: 76
Zhouchen Lin

Zhouchen Lin

Peking University

H-index: 61
Li Li

Li Li

Tsinghua University

H-index: 39
Jianming HU

Jianming HU

Tsinghua University

academic-engine