Selected Publications
Assortment Planning for Recommendations at Checkout under Inventory Constraints. To appear in Mathematics of Operations Research.
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2023. Model-Free Non-Stationary Reinforcement Learning: Near-Optimal Regret and Applications in Multi-Agent Reinforcement Learning and Inventory Control. Management Science.
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2023. .
2023. Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism. To appear in Management Science.
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2023. Offline Planning and Online Learning under Recovering Rewards. Management Science.
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2023. Online Matching with Bayesian Rewards. Operations Research.
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2023. Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk. NeurIPS 2023 Spotlight (top 3%).
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2023. Bandits atop Reinforcement Learning: Tackling Online Inventory Models with Cyclic Demands. To appear in Management Science.
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2022. Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric Regression. To appear in Management Science.
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2022. Constructing Demand Curves from a Single Observation of Bundle Sales. To appear in WINE 2022.
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2022. Context-Based Dynamic Pricing with Partially Linear Demand Model. To appear in NeurIPS 2022.
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2022. Design and Analysis of Switchback Experiments. To appear in Management Science.
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2022. Estimating and Exploiting the Impact of Photo Layout: A Structural Approach. To appear in Management Science.
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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..
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2022. Learning Mixed Multinomial Logits with Provable Guarantees. To appear in NeurIPS 2022.
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2022. A New Approach for Vehicle Routing with Stochastic Demand: Combining Route Assignment with Process Flexibility. To appear in Operations Research.
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2022. Phase Transitions in Bandits with Switching Constraints. To appear in Management Science.
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2022. A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Multi-armed Bandits. To appear in NeurIPS 2022.
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2022. Sobolev Norm Learning Rates for Conditional Mean Embeddings. AISTATS 2022.
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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.
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2022. Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability. To appear in Mathematics of Operations Research.
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2021. Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models. To appear in Management Science.
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2021. Distributionally Robust Linear and Discrete Optimization with Marginals. To appear in Operations Research.
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2021. Dynamic Planning and Learning under Recovering Rewards. To appear in ICML 2021.
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2021. Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. To appear in Management Science.
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2021. Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. To appear in COLT 2021.
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2021. Inventory Balancing with Online Learning. To appear in Management Science.
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2021. Meta Dynamic Pricing: Transfer Learning Across Experiments. To appear in Management Science.
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2021. Is Model-Free Learning Nearly Optimal for Non-Stationary RL? To appear in ICML 2021.
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2021. Online Assortment Optimization with Reusable Resources. To appear in Management Science.
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2021. Online Learning and Optimization for Revenue Management Problems with Add-on Discounts. To appear in Management Science.
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2021. Online Pricing and Demand Learning with Censored Data. To appear in Management Science.
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2021. Online Pricing with Offline Data: Phase Transition and Inverse Square Law. To appear in Management Science.
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2021. Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. To appear in Management Science.
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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.
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2021. A Simpler Way to Modernize Your Supply Chain. Harvard Business Review. September-October 2012
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2021. Dynamic Inventory Allocation with Demand Learning for Seasonal Goods. Production and Operations Management. (Special Issue to Honor Professor Hau Lee, Editor Christopher S Tang)
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2020. Dynamic Pricing (and Assortment) under a Static Calendar. To appear in Management Science.
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2020. Hedging the Drift: Learning to Optimize Under Non-Stationarity. To appear in Management Science.
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2020. Management Science: The Legacy of the Past and Challenge of the Future. To appear in Management Science.
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2020. Multi-Modal Dynamic Pricing. To appear in Management Science.
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2020. .
2020. Parameter-Free Learning for Evolving Markov Decision Processes: The Blessing of (More) Optimism. ICML 2020.
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2020. On Policies for Single-leg Revenue Management with Limited Demand Information. To appear in Operations Research.
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2020. Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses. To appear in Management Science.
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2020. A Statistical Learning Approach to Personalization in Revenue Management. To appear in Management Science.
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2020. Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-dependent Competitive Ratios. To appear in Operations Research.
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2019. Designing Response Supply Chain Against Bioattacks. Operations Research. 67(5)
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2019. Dynamic Learning and Pricing with Model Misspecification. Management Science. 65(11)
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2019. Learning to Optimize under Non-Stationarity. In Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019.
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2019. .
2019. Tight Weight-dependent Competitive Ratios for Online Edge-weighted Bipartite Matching and Beyond. ACM conference on Economics and computation - EC. :727-728.
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2019. Constraint Generation for Two-Stage Robust Network Flow Problem. INFORMS Journal on Optimization. 1(1)
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2018. Disruption Risk Mitigation in Supply Chains - The Risk Exposure Index Revisited. Operations Research. 64(3)
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2018. Drivers of Product Expiration in Consumer Packaged Goods Retailing. Management Science. 65(5)
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2018. Increasing Supply Chain Robustness Through Process Flexibility and Inventory. Production and Operations Management. 27(8)
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2018. The lingering of gradients: How to reuse gradients over time. Advances in Neural Information Process Systems. NIPS 2018. 31
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2018. Online Network Revenue Management using Thompson Sampling. Operations Research. 66(6)
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2018. Powering Retailers Digitization Through Analytics and Automation. Special Issue of International Journal of Production Research, dedicated to 55 Best Scholars in Production Research for the 55th Volume Anniversary of UPR. 56(1-2)
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2018. Sampling-based Approximation Schemes for Capacitated Stochastic Inventory Control Models. Mathematics of Operations Research. 44(2)
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2018. Dynamic Pricing and Demand Learning with Limited Price Experimentation. Operations Research. 65(6)
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2017. The New Frontier of Price Optimization. Sloan Management Review. Fall 2017
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2017. Uplift Modeling with Multiple Treatments and General Response Types. SIAM Data Mining 2017.
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2017. Analytics for an Online Retailer: Demand Forecasting and Price Optimization. Manufacturing and Service Operations Management. 18(1)
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2016. Analyzing Process Flexibility: A Distribution-free Approach with Partial Expectations. Operations Research Letters. 44(3)
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2016. Identifying risks and mitigating disruptions in the automotive supply chain. Interfaces. 45(5)
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2015. Optimal Expediting Policies for a Serial Inventory System with Stochastic Lead Time. Production and Operations Management. 24(10)
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2015. Analyzing Scrip Systems. Operations Research. 62(3)
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2014. Communications Network Design Models. Handbook of Graph Theory, J.L. Gross, J. Yellen and P. Zhang eds., CRC Press.
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2014. Dynamic inventory control with limited capital and short-term financing. Naval Research Logistics. 61(3)
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2014. From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions. Harvard Business Review. January-February 2014
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2014. Fully Polynomial Time Approximation Schemes for Stochastic Dynamic Programs. SIAM Journal on Discrete Mathematics. 28(4)
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2014. OM Research: From Problem Driven to Data Driven Research. Manufacturing and Service Operations Management. 16(1)
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2014. Stable and Coordinating Contracts for a Supply Chain with Multiple Risk-Averse Suppliers. Production and Operations Management. 23(3)
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2014. Worst-case Analysis of Process Flexibility Designs. Operations Research. 63(1-2)
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2014. A Game Theoretic Model of International Influenza Vaccination Coordination. Management Science. 52
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2013. Robust Stochastic Lot-Sizing by Means of Histograms. Production and Operations Management. 22
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2013. Supplier-Buyer Negotiation Games: Equilibrium Conditions and Supply Chain Efficiency. Production and Operations Management. 22
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2013. On the Unimodality of the Profit Function of the Pricing Newsvendor. Production and Operations Management. 22
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2013. When One Size Does Not Fit All. Sloan Management Review. 54(2)
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2013. Approximating the Nonlinear Newsvendor and Single-Item Stochastic Lot-Sizing Problems When Data Is Given by an Oracle. Operations Research. 60(2)
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2012. Optimal Market-Making with Risk Aversion. Operations Research. 60
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2012. Optimal Static Pricing for a Tree Network. Annals of Operations Research. 196
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2012. Performance Evaluation of Stochastic Multi-Echelon Inventory Systems: A Survey. Advances in Operations Research. 2012
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2012. Pricing and Inventory Management. The Handbook of Pricing Management, O. Ozer and R. Phillips (eds.), published by Oxford University Press. Chapter 30
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2012. Sustainable Supply Chain Design: A Closed-Loop Formulation and Sensitivity Analysis. Production Planning & Control. (2-3)
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2012. Understanding the Performance of the Long Chain and Sparse Designs in Process Flexibility. Operations Research. 60
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2012. Greening the Global Supply Chain. Our Common Future. Conference summary report.
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2011. Is It Time to Rethink Your Manufacturing Strategy? Sloan Management Review. 53(2)
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2011. Is It Time to Rethink Your Manufacturing Strategy? Sloan Management Review. 53
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2011. Operations Rules: How to Mitigate Risk Based on Business Objectives. The European Business Review.
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2011. Sourcing Flexibility, Spot Trading and Procurement Contract Structure. Operations Research. 59
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2011. Stock Repurchase with an Adaptive Reservation Price: A Study of the Greedy Policy. Operations Research Letters. 29
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2011. Multi-ship Crane Sequencing with Yard Congestion Constraints. Transportation Science. 44
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2010. Approximation Algorithms for General One-Warehouse Multi-Retailer Systems. Naval Research Logistics. 56
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2009. Flexibility: A Critical Factor in Today's Pharmaceutical Manufacturing Industry. Innovatin in Pharmaceutical Technology.
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2009. Flexibility: A Critical Factor in Today's Pharmaceutical Manufacturing Industry. Innovation in Pharmaceutical Technology. September 2009
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2009. Focus on Flexibility. Manufacturing Chemist. February 2009
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2009. A Fully Polynomial Time Approximation Scheme for Single-item Stochastic Lot-sizing Problems with Discrete Demand. Mathematics of Operations Research. 34
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