David Simchi-Levi

David Simchi-Levi

Massachusetts Institute of Technology

H-index: 81

North America-United States

About David Simchi-Levi

David Simchi-Levi, With an exceptional h-index of 81 and a recent h-index of 53 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Operations Researcg.

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

Assortment planning for recommendations at checkout under inventory constraints

Online Local False Discovery Rate Control: A Resource Allocation Approach

Differentially Private Estimation of CATE in Adaptive Experiment

Non-stationary Experimental Design under Linear Trends

2023 Information Systems Best AE Award: Management Science

Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk

On the Optimal Regret of Locally Private Linear Contextual Bandit

On Experimentation With Heterogeneous Subgroups: An Asymptotic Optimal δ-Weighted-PAC Design

David Simchi-Levi Information

University

Position

Professor of Engineering Systems at

Citations(all)

34729

Citations(since 2020)

10768

Cited By

27386

hIndex(all)

81

hIndex(since 2020)

53

i10Index(all)

222

i10Index(since 2020)

154

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

David Simchi-Levi Skills & Research Interests

Operations Researcg

Top articles of David Simchi-Levi

Title

Journal

Author(s)

Publication Date

Assortment planning for recommendations at checkout under inventory constraints

Mathematics of Operations Research

Xi Chen

Will Ma

David Simchi-Levi

Linwei Xin

2024/2

Online Local False Discovery Rate Control: A Resource Allocation Approach

arXiv preprint arXiv:2402.11425

Ruicheng Ao

Hongyu Chen

David Simchi-Levi

Feng Zhu

2024/2/18

Differentially Private Estimation of CATE in Adaptive Experiment

arXiv preprint arXiv:2401.08224

Jiachun Li

David Simchi-Levi

Kaining Shi

2024/1/16

Non-stationary Experimental Design under Linear Trends

Advances in Neural Information Processing Systems

David Simchi-Levi

Chonghuan Wang

Zeyu Zheng

2024/2/13

2023 Information Systems Best AE Award: Management Science

Management Science

David Simchi-Levi

2024/1

Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk

Advances in Neural Information Processing Systems

David Simchi-Levi

Zeyu Zheng

Feng Zhu

2024/2/13

On the Optimal Regret of Locally Private Linear Contextual Bandit

arXiv preprint arXiv:2404.09413

Jiachun Li

David Simchi-Levi

Yining Wang

2024/4/15

On Experimentation With Heterogeneous Subgroups: An Asymptotic Optimal δ-Weighted-PAC Design

Available at SSRN 4721755

David Simchi-Levi

Chonghuan Wang

Jiamin Xu

2024/2/9

Offline Planning and Online Learning Under Recovering Rewards

Management Science

David Simchi-Levi

Zeyu Zheng

Feng Zhu

2024/4/3

Switchback experiments in a reactive environment

Available at SSRN 4436643

Hongyu Chen

David Simchi-Levi

2023/5/3

Online Matching with Bayesian Rewards

Operations Research

David Simchi-Levi

Rui Sun

Xinshang Wang

2023/7/28

Bandits atop reinforcement learning: Tackling online inventory models with cyclic demands

Management Science

Xiao-Yue Gong

David Simchi-Levi

2023/10/26

2023 MSOM Society Best AE Award: Management Science

Management Science

David Simchi-Levi

2023/12

Multi-armed bandit experimental design: Online decision-making and adaptive inference

David Simchi-Levi

Chonghuan Wang

2023/4/11

Non-stationary Experimental Design under Structured Trends

Available at SSRN 4514568

David Simchi-Levi

Chonghuan Wang

Zeyu Zheng

2023/7/18

Nonstationary reinforcement learning: The blessing of (more) optimism

Management Science

Wang Chi Cheung

David Simchi-Levi

Ruihao Zhu

2023/10

Utility fairness in contextual dynamic pricing with demand learning

arXiv preprint arXiv:2311.16528

Xi Chen

David Simchi-Levi

Yining Wang

2023/11/28

Regret distribution in stochastic bandits: Optimal trade-off between expectation and tail risk

arXiv preprint arXiv:2304.04341

David Simchi-Levi

Zeyu Zheng

Feng Zhu

2023/4/10

Efficient Cloud Server Deployment Under Demand Uncertainty

Available at SSRN 4501810

Rui Peng Liu

Konstantina Mellou

Xiao-Yue Gong

Beibin Li

Thomas Coffee

...

2023/7/3

Estimating and exploiting the impact of photo layout: A structural approach

Management Science

Hanwei Li

David Simchi-Levi

Michelle Xiao Wu

Weiming Zhu

2023/9

See List of Professors in David Simchi-Levi University(Massachusetts Institute of Technology)