Selected Publications

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2022
Gong X., Simchi-Levi D..  2022.  Bandits atop Reinforcement Learning: Tackling Online Inventory Models with Cyclic Demands. To appear in Management Science.
Simchi-Levi D., Sun R., Wu M.X, Zhu R..  2022.  Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric Regression. To appear in Management Science.
Ma W., Simchi-Levi D..  2022.  Constructing Demand Curves from a Single Observation of Bundle Sales. To appear in WINE 2022.
Bu J., Simchi-Levi D., Wang C..  2022.  Context-Based Dynamic Pricing with Partially Linear Demand Model. To appear in NeurIPS 2022.
Bojinov I., Simchi-Levi D., Zhao J..  2022.  Design and Analysis of Switchback Experiments. To appear in Management Science.
Li H., Simchi-Levi D., Wu M.X, Zhu W..  2022.  Estimating and Exploiting the Impact of Photo Layout: A Structural Approach. To appear in Management Science.
Li H., Simchi-Levi D., Sun R., Wu M.X, Fux V., Gellert T., Greiner T., Taverna A..  2022.  Large-Scale Price Optimization for an Online Fashion Retailer. In Babich, V., Birge, J.R., Hilary, G. (eds) Innovative Technology at the Interface of Finance and Operations..
Hu Y., Simchi-Levi D., Yan Z..  2022.  Learning Mixed Multinomial Logits with Provable Guarantees. To appear in NeurIPS 2022.
Ledvina K., Qin H., Simchi-Levi D., Wei Y..  2022.  A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility. To appear in Operations Research.
Foster D., Krishnamurthy A., Simchi-Levi D, Xu Y..  2022.  Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation. COLT 2022.
Simchi-Levi D., Xu Y..  2022.  Phase Transitions in Bandits with Switching Constraints. To appear in Management Science.
Simchi-Levi D., Zheng Z., Zhu F..  2022.  A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Multi-armed Bandits. To appear in NeurIPS 2022.
Talwai P., Shameli A., Simchi-Levi D..  2022.  Sobolev Norm Learning Rates for Conditional Mean Embeddings. AISTATS 2022.
Qin H., Simchi-Levi D., Ferer R., Mays J., Merriam K., Forrester M., Hamrick A..  2022.  Trading Safety Stock for Service Response Time in Inventory Positioning. To appear in Production and Operations Management Special Issue in celebrdation of POMs 30 years.
2021
Simchi-Levi D., Xu Y..  2021.  Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability. To appear in Mathematics of Operations Research.
Qin H., Simchi-Levi D., Wang L..  2021.  Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models. To appear in Management Science.
Chen L., Ma W., Natarajan K., Simchi-Levi D., Yan Z..  2021.  Distributionally Robust Linear and Discrete Optimization with Marginals. To appear in Operations Research.
Simchi-Levi D., Zheng Z., Zhu F..  2021.  Dynamic Planning and Learning under Recovering Rewards. To appear in ICML 2021.
Chen B., Simchi-Levi D., Wang Y., Zhou Y..  2021.  Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. To appear in Management Science.
Foster D.J, Rakhlin A., Simchi-Levi D., Xu Y..  2021.  Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. To appear in COLT 2021.
Cheung W.C, Ma W., Simchi-Levi D., Wang X..  2021.  Inventory Balancing with Online Learning. To appear in Management Science.
Bastani B., Simchi-Levi D., Zhu R..  2021.  Meta Dynamic Pricing: Transfer Learning Across Experiments. To appear in Management Science.
Mao W., Zhang K., Zhu R., Simchi-Levi D., Basar T..  2021.  Is Model-Free Learning Nearly Optimal for Non-Stationary RL? To appear in ICML 2021.
Gong X, Goyal V., Iyengar G., Simchi-Levi D., Udwani R., Wang S..  2021.  Online Assortment Optimization with Reusable Resources. To appear in Management Science.
Simchi-Levi D., Sun R., Zhang H..  2021.  Online Learning and Optimization for Revenue Management Problems with Add-on Discounts. To appear in Management Science.
Bu J., Simchi-Levi D., Wang L..  2021.  Online Pricing and Demand Learning with Censored Data. To appear in Management Science.
Bu J., Simchi-Levi D., Xu Y..  2021.  Online Pricing with Offline Data: Phase Transition and Inverse Square Law. To appear in Management Science.
Chen X., Simchi-Levi D., Wang Y..  2021.  Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. To appear in Management Science.
Ma W., Simchi-Levi D..  2021.  Reaping the Benefits of Bundling under High Production Costs. To appear in Proceedings of the 24nd International Conference on Artificial Intelligence and Statistics, AISTATS.
Simchi-Levi D., Timmermans K..  2021.  A Simpler Way to Modernize Your Supply Chain. Harvard Business Review. September-October 2012
2020
Nambiar M., Simchi-Levi D., Wang H..  2020.  Dynamic Inventory Allocation with Demand Learning for Seasonal Goods. Production and Operations Management. (Special Issue to Honor Professor Hau Lee, Editor Christopher S Tang)
Ma W., Simchi-Levi D., Zhao J..  2020.  Dynamic Pricing (and Assortment) under a Static Calendar. To appear in Management Science.
Cheung W.C, Simchi-Levi D., Zhu R..  2020.  Hedging the Drift: Learning to Optimize Under Non-Stationarity. To appear in Management Science.
Hopp W., Simchi-Levi D..  2020.  Management Science: The Legacy of the Past and Challenge of the Future. To appear in Management Science.
Wang Y., Chen B., Simchi-Levi D..  2020.  Multi-Modal Dynamic Pricing. To appear in Management Science.
Bu J., Simchi-Levi D., Xu Y..  2020.  Online Pricing with Online Data: Phase Transition and Inverse Square Law. ICML 2020.
Cheung W.C, D S-L, Zhu R..  2020.  Parameter-Free Learning for Evolving Markov Decision Processes: The Blessing of (More) Optimism. ICML 2020.
Ma W., Simchi-Levi D., Teo C.P.  2020.  On Policies for Single-leg Revenue Management with Limited Demand Information. To appear in Operations Research.
Jin R., Simchi-Levi D., Wang L., Wang X., Yang S..  2020.  Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses. To appear in Management Science.
Chen X., Owen Z., Pixton C., Simchi-Levi D..  2020.  A Statistical Learning Approach to Personalization in Revenue Management. To appear in Management Science.
2014
Johnson K., Simchi-Levi D., Sun P..  2014.  Analyzing Scrip Systems. Operations Research. 62(3)
Mirchandani P., Simchi-Levi D..  2014.  Communications Network Design Models. Handbook of Graph Theory, J.L. Gross, J. Yellen and P. Zhang eds., CRC Press.
Gong X., Chao X., Simchi-Levi D..  2014.  Dynamic inventory control with limited capital and short-term financing. Naval Research Logistics. 61(3)
Simchi-Levi D., Schmidt W., Wei Y..  2014.  From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions. Harvard Business Review. January-February 2014
Halman N., Klabjan D., Li C.L, Orlin J., Simchi-Levi D..  2014.  Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs. SIAM Journal on Discrete Mathematics. 28(4)
Simchi-Levi D..  2014.  OM Research: From Problem Driven to Data Driven Research. Manufacturing and Service Operations Management. 16(1)
Chen X., Shum S., Simchi-Levi D..  2014.  Stable and Coordinating Contracts for a Supply Chain with Multiple Risk-Averse Suppliers. Production and Operations Management. 23(3)
Simchi-Levi D., Wei Y..  2014.  Worst-case Analysis of Process Flexibility Designs. Operations Research. 63(1-2)

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