David Simchi-Levi

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 105

Top Venues

Publications

Jiachun Li, Kaining Shi, David Simchi-Levi
Differentially Private Estimation of CATE in Adaptive Experiment. CoRR (2024)
Hanwei Li, David Simchi-Levi, Michelle Xiao Wu, Weiming Zhu
Estimating and Exploiting the Impact of Photo Layout: A Structural Approach. Manag. Sci. 69 (9) (2023)
David Simchi-Levi, Yunzong Xu
Phase Transitions in Bandits with Switching Constraints. Manag. Sci. 69 (12) (2023)
David Simchi-Levi
. Manag. Sci. 69 (12) (2023)
David Simchi-Levi, Chonghuan Wang
Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk. ICML (2023)
Jinzhi Bu, David Simchi-Levi, Li Wang
Offline Pricing and Demand Learning with Censored Data. Manag. Sci. 69 (2) (2023)
Iavor Bojinov, David Simchi-Levi, Jinglong Zhao
Design and Analysis of Switchback Experiments. Manag. Sci. 69 (7) (2023)
David Simchi-Levi, Chonghuan Wang
Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference. AISTATS (2023)
Xi Chen, David Simchi-Levi, Yining Wang
Utility Fairness in Contextual Dynamic Pricing with Demand Learning. CoRR (2023)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk. NeurIPS (2023)
David Simchi-Levi
From the Editor - January 2023. Manag. Sci. 69 (1) (2023)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Nonstationary Reinforcement Learning: The Blessing of (More) Optimism. Manag. Sci. 69 (10) (2023)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk. CoRR (2023)
David Simchi-Levi
. Manag. Sci. 69 (12) (2023)
David Simchi-Levi, Chonghuan Wang, Zeyu Zheng
Non-stationary Experimental Design under Linear Trends. NeurIPS (2023)
Will Ma, David Simchi-Levi
Constructing Demand Curves from a Single Observation of Bundle Sales. WINE (2022)
Xi Chen, Zachary Owen, Clark Pixton, David Simchi-Levi
A Statistical Learning Approach to Personalization in Revenue Management. Manag. Sci. 68 (3) (2022)
David Simchi-Levi, Rui Sun, Huanan Zhang
Online Learning and Optimization for Revenue Management Problems with Add-on Discounts. Manag. Sci. 68 (10) (2022)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Hedging the Drift: Learning to Optimize Under Nonstationarity. Manag. Sci. 68 (3) (2022)
Wang Chi Cheung, Will Ma, David Simchi-Levi, Xinshang Wang
Inventory Balancing with Online Learning. Manag. Sci. 68 (3) (2022)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. NeurIPS (2022)
David Simchi-Levi
From the Editor. Manag. Sci. 68 (1) (2022)
Louis Chen, Will Ma, Karthik Natarajan, David Simchi-Levi, Zhenzhen Yan
Distributionally Robust Linear and Discrete Optimization with Marginals. Oper. Res. 70 (3) (2022)
David Simchi-Levi, Yunzong Xu
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits Under Realizability. Math. Oper. Res. 47 (3) (2022)
Prem Talwai, Ali Shameli, David Simchi-Levi
Sobolev Norm Learning Rates for Conditional Mean Embeddings. AISTATS (2022)
Hamsa Bastani, David Simchi-Levi, Ruihao Zhu
Meta Dynamic Pricing: Transfer Learning Across Experiments. Manag. Sci. 68 (3) (2022)
Jinzhi Bu, David Simchi-Levi, Chonghuan Wang
Context-Based Dynamic Pricing with Partially Linear Demand Model. NeurIPS (2022)
Jinzhi Bu, David Simchi-Levi, Yunzong Xu
Online Pricing with Offline Data: Phase Transition and Inverse Square Law. Manag. Sci. 68 (12) (2022)
Yiqun Hu, David Simchi-Levi, Zhenzhen Yan
Learning Mixed Multinomial Logits with Provable Guarantees. NeurIPS (2022)
Xiao-Yue Gong, Vineet Goyal, Garud N. Iyengar, David Simchi-Levi, Rajan Udwani, Shuangyu Wang
Online Assortment Optimization with Reusable Resources. Manag. Sci. 68 (7) (2022)
Kirby Ledvina, Hanzhang Qin, David Simchi-Levi, Yehua Wei
A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility. Oper. Res. 70 (5) (2022)
Dylan J. Foster, Akshay Krishnamurthy, David Simchi-Levi, Yunzong Xu
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation. COLT (2022)
Hanzhang Qin, David Simchi-Levi, Li Wang
Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models. Manag. Sci. 68 (9) (2022)
Boxiao Chen, David Simchi-Levi, Yining Wang, Yuan Zhou
Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. Manag. Sci. 68 (8) (2022)
Xi Chen, David Simchi-Levi, Yining Wang
Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. Manag. Sci. 68 (7) (2022)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. CoRR (2022)
Bora Keskin, David Simchi-Levi, Prem Talwai
Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach. CoRR (2021)
Will Ma, David Simchi-Levi, Jinglong Zhao
Dynamic Pricing (and Assortment) Under a Static Calendar. Manag. Sci. 67 (4) (2021)
David Simchi-Levi
's 65th Anniversary. Manag. Sci. 67 (9) (2021)
Wallace J. Hopp, David Simchi-Levi
: The Legacy of the Past and Challenge of the Future. Manag. Sci. 67 (9) (2021)
Yining Wang, Boxiao Chen, David Simchi-Levi
Multimodal Dynamic Pricing. Manag. Sci. 67 (10) (2021)
Prem Talwai, Ali Shameli, David Simchi-Levi
Sobolev Norm Learning Rates for Conditional Mean Embeddings. CoRR (2021)
Dylan J. Foster, Alexander Rakhlin, David Simchi-Levi, Yunzong Xu
Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. COLT (2021)
Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. ICML (2021)
Rong Jin, David Simchi-Levi, Li Wang, Xinshang Wang, Sen Yang
Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses. Manag. Sci. 67 (8) (2021)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Dynamic Planning and Learning under Recovering Rewards. ICML (2021)
Will Ma, David Simchi-Levi
Reaping the Benefits of Bundling under High Production Costs. AISTATS (2021)
David Simchi-Levi, Zeyu Zheng, Feng Zhu
Dynamic Planning and Learning under Recovering Rewards. CoRR (2021)
Dylan J. Foster, Akshay Krishnamurthy, David Simchi-Levi, Yunzong Xu
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation. CoRR (2021)
Will Ma, David Simchi-Levi, Chung-Piaw Teo
On Policies for Single-Leg Revenue Management with Limited Demand Information. Oper. Res. 69 (1) (2021)
David Simchi-Levi
From the Editor. Manag. Sci. 67 (1) (2021)
Louis L. Chen, Will Ma, James B. Orlin, David Simchi-Levi
Distributionally Robust Max Flows. SOSA (2020)
David Simchi-Levi, Rui Sun, Huanan Zhang
Online Learning and Optimization for Revenue Management Problems with Add-on Discounts. CoRR (2020)
David Simchi-Levi, Yunzong Xu
Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability. CoRR (2020)
Dylan J. Foster, Alexander Rakhlin, David Simchi-Levi, Yunzong Xu
Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. CoRR (2020)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML (2020)
Jinzhi Bu, David Simchi-Levi, Yunzong Xu
Online Pricing with Offline Data: Phase Transition and Inverse Square Law. ICML (2020)
David Simchi-Levi
From the Editor. Manag. Sci. 66 (1) (2020)
Will Ma, David Simchi-Levi
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios. Oper. Res. 68 (6) (2020)
David Simchi-Levi
. Manag. Sci. 66 (9) (2020)
Xi Chen, David Simchi-Levi, Yining Wang
Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. CoRR (2020)
Xiao-Yue Gong, David Simchi-Levi
Provably More Efficient Q-Learning in the Full-Feedback/One-Sided-Feedback Settings. CoRR (2020)
Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar
Near-Optimal Regret Bounds for Model-Free RL in Non-Stationary Episodic MDPs. CoRR (2020)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. CoRR (2020)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Reinforcement Learning under Drift. CoRR (2019)
Jinzhi Bu, David Simchi-Levi, Yunzong Xu
Online Pricing with Offline Data: Phase Transition and Inverse Square Law. CoRR (2019)
David Simchi-Levi, Yunzong Xu
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints. CoRR (2019)
Rong Jin, David Simchi-Levi, Li Wang, Xinshang Wang, Sen Yang
Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses. CoRR (2019)
David Simchi-Levi, Nikolaos Trichakis, Peter Yun Zhang
Designing Response Supply Chain Against Bioattacks. Oper. Res. 67 (5) (2019)
Wang Chi Cheung, David Simchi-Levi
Sampling-Based Approximation Schemes for Capacitated Stochastic Inventory Control Models. Math. Oper. Res. 44 (2) (2019)
Hamsa Bastani, David Simchi-Levi, Ruihao Zhu
Meta Dynamic Pricing: Learning Across Experiments. CoRR (2019)
Will Ma, David Simchi-Levi
Tight Weight-dependent Competitive Ratios for Online Edge-weighted Bipartite Matching and Beyond. EC (2019)
David Simchi-Levi, Yunzong Xu, Jinglong Zhao
Network Revenue Management with Limited Switches: Known and Unknown Demand Distributions. CoRR (2019)
Arzum Akkas, Vishal Gaur, David Simchi-Levi
Drivers of Product Expiration in Consumer Packaged Goods Retailing. Manag. Sci. 65 (5) (2019)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Learning to Optimize under Non-Stationarity. AISTATS (2019)
Elaheh Fata, Will Ma, David Simchi-Levi
Multi-stage and Multi-customer Assortment Optimization with Inventory Constraints. CoRR (2019)
David Simchi-Levi
From the Editor. Manag. Sci. 65 (2) (2019)
Sarah Yini Gao, David Simchi-Levi, Chung-Piaw Teo, Zhenzhen Yan
Disruption Risk Mitigation in Supply Chains: The Risk Exposure Index Revisited. Oper. Res. 67 (3) (2019)
Will Ma, David Simchi-Levi
Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-dependent Competitive Ratios. CoRR (2019)
Mila Nambiar, David Simchi-Levi, He Wang
Dynamic Learning and Pricing with Model Misspecification. Manag. Sci. 65 (11) (2019)
David Simchi-Levi, Yunzong Xu
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints. NeurIPS (2019)
Will Ma, David Simchi-Levi, Jinglong Zhao
A Competitive Analysis of Online Knapsack Problems with Unit Density. CoRR (2019)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Hedging the Drift: Learning to Optimize under Non-Stationarity. CoRR (2019)
Zeyuan Allen-Zhu, David Simchi-Levi, Xinshang Wang
The Lingering of Gradients: How to Reuse Gradients over Time. CoRR (2019)
Will Ma, David Simchi-Levi, Jinglong Zhao
Dynamic Pricing under a Static Calendar. CoRR (2018)
Zeyuan Allen-Zhu, David Simchi-Levi, Xinshang Wang
The Lingering of Gradients: How to Reuse Gradients Over Time. NeurIPS (2018)
Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu
Learning to Optimize under Non-Stationarity. CoRR (2018)
David Simchi-Levi
for a Sharper Focus and Broader Appeal. Manag. Sci. 64 (2) (2018)
Wang Chi Cheung, Will Ma, David Simchi-Levi, Xinshang Wang
Inventory Balancing with Online Learning. CoRR (2018)
David Simchi-Levi, Michelle Xiao Wu
Powering retailers' digitization through analytics and automation. Int. J. Prod. Res. 56 (1-2) (2018)
Kris Johnson Ferreira, David Simchi-Levi, He Wang
Online Network Revenue Management Using Thompson Sampling. Oper. Res. 66 (6) (2018)
Will Ma, David Simchi-Levi, Chung-Piaw Teo
On Policies for Single-leg Revenue Management with Limited Demand Information. CoRR (2018)
David Simchi-Levi
From the Editor. Manag. Sci. 64 (1) (2018)
Yan Zhao, Xiao Fang, David Simchi-Levi
Uplift Modeling with Multiple Treatments and General Response Types. CoRR (2017)
Yan Zhao, Xiao Fang, David Simchi-Levi
A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling. ICDM (2017)
Charles J. Corbett, Vishal Gaur, David Simchi-Levi, Terry A. Taylor
Editorial Statement - Operations Management. Manag. Sci. 63 (11) (2017)
Wang Chi Cheung, David Simchi-Levi
Assortment Optimization under Unknown MultiNomial Logit Choice Models. CoRR (2017)
Wang Chi Cheung, David Simchi-Levi, He Wang
Technical Note - Dynamic Pricing and Demand Learning with Limited Price Experimentation. Oper. Res. 65 (6) (2017)
Yan Zhao, Xiao Fang, David Simchi-Levi
Uplift Modeling with Multiple Treatments and General Response Types. SDM (2017)
Yan Zhao, Xiao Fang, David Simchi-Levi
A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Simchi-Levi