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Mao W., Zhang K., Zhu R., Simchi-Levi D., Basar T..
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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Simchi-Levi D., Zheng Z., Zhu F..
2023. Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk. NeurIPS 2023 Spotlight (top 3%). |
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Simchi-Levi D., Wang C., Zheng Z..
2023. Non-stationary Experimental Design under Linear Trends. NeurIPS. |
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Simchi-Levi D., Zheng Z., Zhu F..
2023. Offline Planning and Online Learning under Recovering Rewards. Management Science. |
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Simchi-Levi D., Sun R., Wang X..
2023. Online Matching with Bayesian Rewards. Operations Research. |
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Cheung W.C, Simchi-Levi D., Zhu R..
2023. Non-Stationary Reinforcement Learning: The Blessing of (More) Optimism. To appear in Management Science. |
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Chen X., Ma W., Simchi-Levi D..
2023. Assortment Planning for Recommendations at Checkout under Inventory Constraints. To appear in Mathematics of Operations Research. |
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Talwai P., Shameli A., Simchi-Levi D..
2022. Sobolev Norm Learning Rates for Conditional Mean Embeddings. AISTATS 2022. |
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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.. |
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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. |
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