Yuan Zhou

About Yuan Zhou

Yuan Zhou, With an exceptional h-index of 28 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Machine Learning, Operations Research, Theory of Computation.

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

Proof-of-Learning with Incentive Security

Personalized Pricing with Group Fairness Constraint

Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits

Bayesian Mechanism Design for Blockchain Transaction Fee Allocation

Learning in Lost-Sales Inventory Systems with Stochastic Lead Times and Random Supplies

A Minibatch-SGD-based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy

Optimal policies for dynamic pricing and inventory control with nonparametric censored demands

Robust situational reinforcement learning in face of context disturbances

Yuan Zhou Information

University

Position

Department of ISE

Citations(all)

2327

Citations(since 2020)

1543

Cited By

1248

hIndex(all)

28

hIndex(since 2020)

23

i10Index(all)

45

i10Index(since 2020)

40

Email

University Profile Page

Google Scholar

Yuan Zhou Skills & Research Interests

Machine Learning

Operations Research

Theory of Computation

Top articles of Yuan Zhou

Title

Journal

Author(s)

Publication Date

Proof-of-Learning with Incentive Security

arXiv preprint arXiv:2404.09005

Zishuo Zhao

Zhixuan Fang

Xuechao Wang

Yuan Zhou

2024/4/13

Personalized Pricing with Group Fairness Constraint

Xin Chen

Zexing Xu

Zishuo Zhao

Yuan Zhou

2023/6/12

Nearly Minimax-Optimal Regret for Linearly Parameterized Bandits

IEEE Transactions on Information Theory

Yingkai Li

Yining Wang

Yuan Zhou

2023/4/17

Bayesian Mechanism Design for Blockchain Transaction Fee Allocation

Available at SSRN 4413816

Xi Chen

David Simchi-Levi

Zishuo Zhao

Yuan Zhou

2023/4/10

Learning in Lost-Sales Inventory Systems with Stochastic Lead Times and Random Supplies

Available at SSRN 4671416

Xin Chen

Jiameng Lyu

Shilin Yuan

Yuan Zhou

2023/12/21

A Minibatch-SGD-based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy

Available at SSRN 4390778

Jiameng Lyu

Jinxing Xie

Shilin Yuan

Yuan Zhou

2023/3/16

Optimal policies for dynamic pricing and inventory control with nonparametric censored demands

Management Science

Boxiao Chen

Yining Wang

Yuan Zhou

2023/8/31

Robust situational reinforcement learning in face of context disturbances

Jinpeng Zhang

Yufeng Zheng

Chuheng Zhang

Li Zhao

Lei Song

...

2023/7/3

Off-policy reinforcement learning with delayed rewards

Beining Han

Zhizhou Ren

Zuofan Wu

Yuan Zhou

Jian Peng

2022/6/28

Learning Sparse Group Models Through Boolean Relaxation

Yijie Wang

Yuan Zhou

Xiaoqing Huang

Kun Huang

Jie Zhang

...

2022/9/29

Imitation Learning from Observations under Transition Model Disparity

arXiv preprint arXiv:2204.11446

Tanmay Gangwani

Yuan Zhou

Jian Peng

2022/4/25

Dynamic pricing and inventory control with fixed ordering cost and incomplete demand information

Management Science

Boxiao Chen

David Simchi-Levi

Yining Wang

Yuan Zhou

2022/8

Network Revenue Management with Demand Learning and Fair Resource-Consumption Balancing

Production and Operations Management (Forthcoming)

Xi Chen

Jiameng Lyu

Yining Wang

Yuan Zhou

2022/7/22

Dynamic Car Dispatching and Pricing: Revenue and Fairness for Ridesharing Platforms

arXiv preprint arXiv:2207.06318

Zishuo Zhao

Xi Chen

Xuefeng Zhang

Yuan Zhou

2022/7/13

Near-optimal regret bounds for multi-batch reinforcement learning

Advances in Neural Information Processing Systems

Zihan Zhang

Yuhang Jiang

Yuan Zhou

Xiangyang Ji

2022/12/6

Proximal exploration for model-guided protein sequence design

Zhizhou Ren

Jiahan Li

Fan Ding

Yuan Zhou

Jianzhu Ma

...

2022/6/28

Assortment Optimization Under the Multivariate MNL Model

arXiv preprint arXiv:2209.15220

Xin Chen

Jiachun Li

Menglong Li

Tiancheng Zhao

Yuan Zhou

2022/9/30

Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits

arXiv preprint arXiv:2110.08057

Zihan Zhang

Xiangyang Ji

Yuan Zhou

2021/10/15

Harnessing distribution ratio estimators for learning agents with quality and diversity

Tanmay Gangwani

Jian Peng

Yuan Zhou

2021/10/4

Model-free reinforcement learning: from clipped pseudo-regret to sample complexity

Zihan Zhang

Yuan Zhou

Xiangyang Ji

2021/7/1

See List of Professors in Yuan Zhou University(University of Illinois at Urbana-Champaign)

Co-Authors

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