Selected Publications
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2020. Hedging the Drift: Learning to Optimize under Non-Stationarity. Management Science—Special Issue on Data-Driven Prescriptive Analytics.
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2020. Multi-Modal Dynamic Pricing. Management Science.
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2020. Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses. Management Science.
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2020. A Statistical Learning Approach to Personalization in Revenue Management. Management Science.
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2020. Dynamic Pricing (and Assortment) under a Static Calendar. Management Science.
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2020. Online Pricing with Offline Data: Phase Transition and Inverse Square Law. ICML 2020.
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2020. Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML 2020.
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2019. Learning to Optimize under Non-Stationarity. AISTATS 2019.
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2019. Sampling-based Approximation Schemes for Capacitated Stochastic Inventory Control Models. Mathematics of Operations Research.
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2019. Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios. Operations Research.
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2019. Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints. NeurIPS 2019.
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2019. Dynamic Learning and Pricing with Model Misspecification. Management Science.
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2018. Online Network Revenue Management using Thompson Sampling. Operations Research. 66(6)
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2018. The Lingering of Gradients: How to Reuse Gradients Over Time. NeurIPS 2018. (31)
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2017. Uplift Modeling with Multiple Treatments and General Response Types. SIAM Data Mining 2017.
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2017. Dynamic Pricing and Demand Learning with Limited Price Experimentation. Operations Research. 65(6)
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2016. Analytics for an Online Retailer: Demand Forecasting and Price Optimization. Manufacturing and Service Operations Management. 18(1)
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2013. Robust Stochastic Lot-Sizing by Means of Histograms. Production and Operations Management. 22
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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.
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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. Meta Dynamic Pricing: Transfer Learning Across Experiments. Management Science—Special Issue on Data-Driven Prescriptive Analytics.
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2021. On-line Assortment Optimization with Reusable Resources. Management Science.
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2021. Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. Management Science.
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2021. Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. COLT 2021.
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2021. Is Model-Free Learning Nearly Optimal for Non-Stationary RL? ICML 2021.
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2021. Dynamic Planning and Learning under Recovering Rewards. ICML 2021.
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2021. Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability. Mathematics of Operations Research.
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2021. Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models. Management Science.
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2021. Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. Management Science.
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2021. Online Learning and Optimization for Revenue Management Problems with Add-on Discounts. Management Science.
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2021. Inventory Balancing with Online Learning. Management Science.
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2021. Online Pricing with Offline Data: Phase Transition and Inverse Square Law. Management Science.
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2021. Distributionally Robust Linear and Discrete Optimization with Marginals. Operations Research.
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2021. Offline Pricing and Demand Learning with Censored Data. Management Science.
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2022. Sobolev Norm Learning Rates for Conditional Mean Embeddings. AISTAT 2022.
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2022. Design and Analysis of Switchback Experiments. Management Science.
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2022. Estimating and Exploiting the Impact of Photo Layout: A Structural Approach. Management Science.
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2022. Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation. COLT 2022.
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2022. Phase Transitions in Bandits with Switching Constraints. Management Science.
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2022. Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric Regression. Management Science.
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2022. Bandits atop Reinforcement Learning: Tackling Online Inventory Models with Cyclic Demands. Management Science.
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2022. A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Multi-armed Bandits. NeurIPS 2022.
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2022. Learning Mixed Multinomial Logits with Provable Guarantees. NeurIPS 2022.
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2022. Context-Based Dynamic Pricing with Partially Linear Demand Model. NeurIPS 2022.
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2022. Constructing Demand Curves from a Single Observation of Bundle Sales. WINE 2022.
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2023. Assortment Planning for Recommendations at Checkout under Inventory Constraints. Mathematics of Operations Research.
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2023. Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism. Management Science.
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2023. Online Matching with Bayesian Rewards. Operations Research.
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2023. Offline Planning and Online Learning under Recovering Rewards. Management Science.
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2023. Non-stationary Experimental Design under Linear Trends. NeurIPS.
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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. 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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2024. Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference. Management Science.
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2024. A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Stochastic Bandits. Management Science.
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2024. Pricing Experimental Design: Causal E ect, Expected Revenue and Tail Risk. Management Science.
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2018. Increasing Supply Chain Robustness Through Process Flexibility and Inventory. Production and Operations Management. 27(8)
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2014. Worst-case Analysis of Process Flexibility Designs. Operations Research. 63(1)
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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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2019. Designing Response Supply Chain against Bioattacks. Operations Research.
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2018. Disruption Risk Mitigation in Supply Chains - The Risk Exposure Index Revisited. Operations Research.
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2016. Analyzing Process Flexibility: A Distribution-free Approach with Partial Expectations.. Operations Research Letters. 44(3)
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2015. Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain. Interfaces. 45(5)
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2014. From Superstorms to Factory Fires: Managing Unpredictable Supply Chain Disruptions. Harvard Business Review.
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2006. Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Continuous Review Model. Operations Research Letters. 36
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2004. Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Finite Horizon Case. Operations Research. 52
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2004. Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Infinite Horizon Case. Mathematics of Operations Research. 29
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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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2007. Risk Aversion in Inventory Management. Operations Research. 55
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2006. Performance Analysis and Evaluation of Assemble-to-Order Systems with Stochastic Sequential Lead Times. Operations Research. 54
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2006. Inventory Placement in Acyclic Supply Chain Networks. Operations Research Letters. 36
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2022. Trading Safety Stock for Service Response Time in Inventory Positioning. Production and Operations Management. (Special Issue in celebration of POMs 30 years)
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2018. Drivers of Product Expiration in Consumer-Packaged Goods Retailing. Management Science.
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2013. Supplier-Buyer Negotiation Games: Equilibrium Conditions and Supply Chain Efficiency. Production and Operations Management. 22
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2011. Sourcing Flexiility, Spot Trading and Procurement Contract Structure. Operations Research. 59
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2009. Competition in the Supply Option Market.. Operations Research. 57
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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. Analyzing Scrip Systems. Operations Research . 62(3)
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2012. Approximating the Nonlinear Newsvendor and Single-Item Stochastic Lot-sizing Problems When Data Is Given by an Oracle. Operations Research. 60
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2000. Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times and Information.. Management Science. 46
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2000. The Impact of Exponential Smoothing Forecasts on the Bullwhip Effect. Naval Research Logistics. 47
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1997. On the Effectiveness of Set Covering Formulations for the Vehicle Routing Problem. Operations Research. 45
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1996. Probabilistic Analysis and Practical Algorithms for the Vehicle Routing Problem with Time Windows. Operations Research. 44
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1996. The New Generation of Vehicle Routing Research: Robust Algorithms Addressing Uncertainty. Operations Research. 44
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1995. A Location Based Heuristic for General Routing Problems. Operations Research. 43
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2013. A Game Theoretic Model of International Influenza Vaccination Coordination. Management Science. 52
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2008. Supply Chain Coordination and Influenza Vaccination. Operations Research. 56
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2011. Optimal Market-Making with Risk Aversion. Operations Research.
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2010. Stock Repurchase with an Adaptive Reservation Price: A Study of the Greedy Policy. Operations Research Letters. 29
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2020. Management Science: The Legacy of the Past and Challenge of the Future. Management Science.