Zhengyuan Zhou

Zhengyuan Zhou

New York University

H-index: 33

North America-United States

About Zhengyuan Zhou

Zhengyuan Zhou, With an exceptional h-index of 33 and a recent h-index of 32 (since 2020), a distinguished researcher at New York University, specializes in the field of contextual bandits, learning in games, stochastic optimization, reinforcement learning, operations management.

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

Optimal diagonal preconditioning

Learning to order for inventory systems with lost sales and uncertain supplies

Stochastic contextual bandits with graph feedback: from independence number to MAS number

Delay-adaptive learning in generalized linear contextual bandits

Dynamic batch learning in high-dimensional sparse linear contextual bandits

On the Last-Iterate Convergence of Shuffling Gradient Methods

Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods

Distributionally robust batch contextual bandits

Zhengyuan Zhou Information

University

Position

Dept of Technology, Operations and Statistics at NYU Stern

Citations(all)

5038

Citations(since 2020)

4617

Cited By

1719

hIndex(all)

33

hIndex(since 2020)

32

i10Index(all)

67

i10Index(since 2020)

57

Email

University Profile Page

New York University

Google Scholar

View Google Scholar Profile

Zhengyuan Zhou Skills & Research Interests

contextual bandits

learning in games

stochastic optimization

reinforcement learning

operations management

Top articles of Zhengyuan Zhou

Title

Journal

Author(s)

Publication Date

Optimal diagonal preconditioning

Operations Research

Zhaonan Qu

Wenzhi Gao

Oliver Hinder

Yinyu Ye

Zhengyuan Zhou

2024/3/4

Learning to order for inventory systems with lost sales and uncertain supplies

Management Science

Boxiao Chen

Jiashuo Jiang

Jiawei Zhang

Zhengyuan Zhou

2024/3/4

Stochastic contextual bandits with graph feedback: from independence number to MAS number

arXiv preprint arXiv:2402.18591

Yuxiao Wen

Yanjun Han

Zhengyuan Zhou

2024/2/12

Delay-adaptive learning in generalized linear contextual bandits

Mathematics of Operations Research

Jose Blanchet

Renyuan Xu

Zhengyuan Zhou

2024/2

Dynamic batch learning in high-dimensional sparse linear contextual bandits

Management Science

Zhimei Ren

Zhengyuan Zhou

2024/2

On the Last-Iterate Convergence of Shuffling Gradient Methods

arXiv preprint arXiv:2403.07723

Zijian Liu

Zhengyuan Zhou

2024/3/12

Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods

arXiv preprint arXiv:2312.08531

Zijian Liu

Zhengyuan Zhou

2023/12/13

Distributionally robust batch contextual bandits

Management Science

Nian Si

Fan Zhang

Zhengyuan Zhou

Jose Blanchet

2023/10

On the foundation of distributionally robust reinforcement learning

arXiv preprint arXiv:2311.09018

Shengbo Wang

Nian Si

Jose Blanchet

Zhengyuan Zhou

2023/11/15

Breaking the lower bound with (little) structure: Acceleration in non-convex stochastic optimization with heavy-tailed noise

Zijian Liu

Jiawei Zhang

Zhengyuan Zhou

2023/7/12

No-Regret Learning in Multi-Retailer Inventory Control

Available at SSRN 4626023

Xiaoyu Fan

Boxiao Chen

Wenqiang Xiao

Zhengyuan Zhou

2023/11/7

A finite sample complexity bound for distributionally robust q-learning

Shengbo Wang

Nian Si

Jose Blanchet

Zhengyuan Zhou

2023/4/11

Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback

arXiv preprint arXiv:2310.14085

Michael I Jordan

Tianyi Lin

Zhengyuan Zhou

2023/10/21

Stochastic nonsmooth convex optimization with heavy-tailed noises

arXiv preprint arXiv:2303.12277

Zijian Liu

Zhengyuan Zhou

2023/3/22

A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg

Journal of Artificial Intelligence Research

Zhaonan Qu

Kaixiang Lin

Zhaojian Li

Jiayu Zhou

Zhengyuan Zhou

2023/12/27

Policy learning with adaptively collected data

Management Science

Ruohan Zhan

Zhimei Ren

Susan Athey

Zhengyuan Zhou

2023/10/16

Offline multi-action policy learning: Generalization and optimization

Operations Research

Zhengyuan Zhou

Susan Athey

Stefan Wager

2022/6/7

Leveraging the hints: Adaptive bidding in repeated first-price auctions

Advances in Neural Information Processing Systems

Wei Zhang

Yanjun Han

Zhengyuan Zhou

Aaron Flores

Tsachy Weissman

2022/12/6

Distributed stochastic optimization with large delays

Mathematics of Operations Research

Zhengyuan Zhou

Panayotis Mertikopoulos

Nicholas Bambos

Peter Glynn

Yinyu Ye

2022/8

Society of Agents: Regret Bounds of Concurrent Thompson Sampling

Advances in Neural Information Processing Systems

Yan Chen

Perry Dong

Qinxun Bai

Maria Dimakopoulou

Wei Xu

...

2022/12/6

See List of Professors in Zhengyuan Zhou University(New York University)