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Mao W, Zhang K, Zhu R, Simchi-Levi D, Başar T.
2023. Model-Free Non-Stationary Reinforcement Learning: Near-Optimal Regret and Applications in Multi-Agent Reinforcement Learning and Inventory Control. Management Science. |
a. Statistical Learning in Operations |
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Zhu F, Zheng Z, Simchi-Levi D.
2023. Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk. NeurIPS 2023 Spotlight (top 3%). |
a. Statistical Learning in Operations |
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Simchi-Levi D, Wang C, Zheng Z.
2023. Non-stationary Experimental Design under Linear Trends. NeurIPS. |
a. Statistical Learning in Operations |
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Simchi-Levi D, Zheng Z, Zhu F.
2023. Offline Planning and Online Learning under Recovering Rewards. Management Science. |
a. Statistical Learning in Operations |
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Simchi-Levi D, Sun R, Wang X.
2023. Online Matching with Bayesian Rewards. Operations Research. |
a. Statistical Learning in Operations |
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Cheung W. C., Simchi-Levi D, Zhu R.
2023. Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism. Management Science. |
a. Statistical Learning in Operations |
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Chen X, Ma W, Simchi-Levi D, Xin L.
2023. Assortment Planning for Recommendations at Checkout under Inventory Constraints. Mathematics of Operations Research. |
a. Statistical Learning in Operations |
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Ma W, Simchi-Levi D.
2022. Constructing Demand Curves from a Single Observation of Bundle Sales. WINE 2022. |
a. Statistical Learning in Operations |
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Bu J, Simchi-Levi D, Wang C.
2022. Context-Based Dynamic Pricing with Partially Linear Demand Model. NeurIPS 2022. |
a. Statistical Learning in Operations |
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Hu Y, Simchi-Levi D, Yan Z.
2022. Learning Mixed Multinomial Logits with Provable Guarantees. NeurIPS 2022. |
a. Statistical Learning in Operations |
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Simchi-Levi D, Zheng Z, Zhu F.
2022. A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Multi-armed Bandits. NeurIPS 2022. |
a. Statistical Learning in Operations |
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Gong X, Simchi-Levi D.
2022. Bandits atop Reinforcement Learning: Tackling Online Inventory Models with Cyclic Demands. Management Science. |
a. Statistical Learning in Operations |
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Simchi-Levi D, Sun R, Wu MXiao, Zhu R.
2022. Calibrating Sales Forecast in a Pandemic Using Competitive Online Non-Parametric Regression. Management Science. |
a. Statistical Learning in Operations |
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Simchi-Levi D, Xu Y.
2022. Phase Transitions in Bandits with Switching Constraints. Management Science. |
a. Statistical Learning in Operations |
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Foster D, Krishnamurthy A, Simchi-Levi D, Xu Y.
2022. Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation. COLT 2022. |
a. Statistical Learning in Operations |
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Li H, Simchi-Levi D, Wu M, Zhu W.
2022. Estimating and Exploiting the Impact of Photo Layout: A Structural Approach. Management Science. |
a. Statistical Learning in Operations |
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Bojinov I, Simchi-Levi D, Zhao J.
2022. Design and Analysis of Switchback Experiments. Management Science. |
a. Statistical Learning in Operations |
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Talwai P, Shameli A, Simchi-Levi D.
2022. Sobolev Norm Learning Rates for Conditional Mean Embeddings. AISTAT 2022. |
a. Statistical Learning in Operations |
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Bu J, Simchi-Levi D, Wang L.
2021. Offline Pricing and Demand Learning with Censored Data. Management Science. |
a. Statistical Learning in Operations |
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Chen L, Ma W, Natarajan K, Simchi-Levi D, Yan Z.
2021. Distributionally Robust Linear and Discrete Optimization with Marginals. Operations Research. |
a. Statistical Learning in Operations |
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Bu J, Simchi-Levi D, Xu Y.
2021. Online Pricing with Offline Data: Phase Transition and Inverse Square Law. Management Science. |
a. Statistical Learning in Operations |
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Cheung W.C, Ma W, Simchi-Levi D, Wang X.
2021. Inventory Balancing with Online Learning. Management Science. |
a. Statistical Learning in Operations |
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Simchi-Levi D, Sun R, Zhang H.
2021. Online Learning and Optimization for Revenue Management Problems with Add-on Discounts. Management Science. |
a. Statistical Learning in Operations |
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Chen B, Simchi-Levi D, Wang Y, Zhou Y.
2021. Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information. Management Science. |
a. Statistical Learning in Operations |
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Qin H, Simchi-Levi D, Wang L.
2021. Data-Driven Approximation Schemes for Joint Pricing and Inventory Control Models. Management Science. |
a. Statistical Learning in Operations |
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Simchi-Levi D, Xu Y.
2021. Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits under Realizability. Mathematics of Operations Research. |
a. Statistical Learning in Operations |
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Simchi-Levi D, Zheng Z, Zhu F.
2021. Dynamic Planning and Learning under Recovering Rewards. ICML 2021. |
a. Statistical Learning in Operations |
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Mao W, Zhang K, Zhu R, Simchi-Levi D, Basar T.
2021. Is Model-Free Learning Nearly Optimal for Non-Stationary RL? ICML 2021. |
a. Statistical Learning in Operations |
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Foster D, Rakhlin A, Simchi-Levi D, Xu Y.
2021. Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. COLT 2021. |
a. Statistical Learning in Operations |
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Chen X, Simchi-Levi D, Wang Y.
2021. Privacy-Preserving Dynamic Personalized Pricing with Demand Learning. Management Science. |
a. Statistical Learning in Operations |
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Gong X, Goyal V, Iyengar G, Simchi-Levi D, Udwani R, Wang S.
2021. On-line Assortment Optimization with Reusable Resources. Management Science. |
a. Statistical Learning in Operations |
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Bastani H, Simchi-Levi D, Zhu R.
2021. Meta Dynamic Pricing: Transfer Learning Across Experiments. Management Science—Special Issue on Data-Driven Prescriptive Analytics. |
a. Statistical Learning in Operations |
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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.. |
a. Statistical Learning in Operations |
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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. |
a. Statistical Learning in Operations |
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Cheung W.C, Simchi-Levi D, Zhu R.
2020. Hedging the Drift: Learning to Optimize under Non-Stationarity. Management Science—Special Issue on Data-Driven Prescriptive Analytics. |
a. Statistical Learning in Operations |
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Wang Y, Chen B, Simchi-Levi D.
2020. Multi-Modal Dynamic Pricing. Management Science. |
a. Statistical Learning in Operations |
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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. Management Science. |
a. Statistical Learning in Operations |
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Chen X, Owen Z, Pixton C, Simchi-Levi D.
2020. A Statistical Learning Approach to Personalization in Revenue Management. Management Science. |
a. Statistical Learning in Operations |
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Cheung W.C, Simchi-Levi D., Zhu R.
2020. Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. ICML 2020. |
a. Statistical Learning in Operations |
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Bu J, Simchi-Levi D, Xu Y.
2020. Online Pricing with Offline Data: Phase Transition and Inverse Square Law. ICML 2020. |
a. Statistical Learning in Operations |
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Ma W, Simchi-Levi D, Zhao J.
2020. Dynamic Pricing (and Assortment) under a Static Calendar. Management Science. |
a. Statistical Learning in Operations |
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Ma W, Simchi-Levi D.
2019. Algorithms for Online Matching, Assortment, and Pricing with Tight Weight-Dependent Competitive Ratios. Operations Research. |
a. Statistical Learning in Operations |
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Simchi-Levi D, Xu Y.
2019. Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints. NeurIPS 2019. |
a. Statistical Learning in Operations |
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Cheung W.C, Simchi-Levi D, Zhu R.
2019. Learning to Optimize under Non-Stationarity. AISTATS 2019. |
a. Statistical Learning in Operations |
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Cheung W.C, Simchi-Levi D.
2019. Sampling-based Approximation Schemes for Capacitated Stochastic Inventory Control Models. Mathematics of Operations Research. |
a. Statistical Learning in Operations |
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Nambiar M, Simchi-Levi D, Wang H.
2019. Dynamic Learning and Pricing with Model Misspecification. Management Science. |
a. Statistical Learning in Operations |
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Ferreira J.K, Simchi-Levi D, Wang H.
2018. Online Network Revenue Management using Thompson Sampling. Operations Research. 66(6) |
a. Statistical Learning in Operations |
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Allen-Zhu Z, Simchi-Levi D, Wang X.
2018. The Lingering of Gradients: How to Reuse Gradients Over Time. NeurIPS 2018. (31) |
a. Statistical Learning in Operations |
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Zhao Y, Fang X, Simchi-Levi D.
2017. Uplift Modeling with Multiple Treatments and General Response Types. SIAM Data Mining 2017. |
a. Statistical Learning in Operations |
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Cheung W.C, Simchi-Levi D, Wang H.
2017. Dynamic Pricing and Demand Learning with Limited Price Experimentation. Operations Research. 65(6) |
a. Statistical Learning in Operations |
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Ferreira J.K, Lee A.BH, Simchi-Levi D.
2016. Analytics for an Online Retailer: Demand Forecasting and Price Optimization. Manufacturing and Service Operations Management. 18(1) |
a. Statistical Learning in Operations |
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Klabjan D, Simchi-Levi D, Song M.
2013. Robust Stochastic Lot-Sizing by Means of Histograms. Production and Operations Management. 22 |
a. Statistical Learning in Operations |
