| 2025 | ICML | Contextual Online Decision Making with Infinite-Dimensional Functional Regression. | Haichen Hu, Rui Ai, Stephen Bates, David Simchi-Levi |
| 2024 | ICML | Privacy Preserving Adaptive Experiment Design. | Jiachun Li, Kaining Shi, David Simchi-Levi |
| 2023 | AISTATS | Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference. | David Simchi-Levi, Chonghuan Wang |
| 2023 | ICML | Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk. | David Simchi-Levi, Chonghuan Wang |
| 2022 | AISTATS | Sobolev Norm Learning Rates for Conditional Mean Embeddings. | Prem Talwai, Ali Shameli, David Simchi-Levi |
| 2022 | COLT | Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation. | Dylan J. Foster, Akshay Krishnamurthy, David Simchi-Levi, Yunzong Xu |
| 2021 | AISTATS | Reaping the Benefits of Bundling under High Production Costs. | Will Ma, David Simchi-Levi |
| 2021 | COLT | Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. | Dylan J. Foster, Alexander Rakhlin, David Simchi-Levi, Yunzong Xu |
| 2021 | ICML | Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs. | Weichao Mao, Kaiqing Zhang, Ruihao Zhu, David Simchi-Levi, Tamer Basar |
| 2021 | ICML | Dynamic Planning and Learning under Recovering Rewards. | David Simchi-Levi, Zeyu Zheng, Feng Zhu |
| 2020 | ICML | Online Pricing with Offline Data: Phase Transition and Inverse Square Law. | Jinzhi Bu, David Simchi-Levi, Yunzong Xu |
| 2020 | ICML | Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism. | Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu |
| 2020 | SODA | Distributionally Robust Max Flows. | Louis L. Chen, Will Ma, James B. Orlin, David Simchi-Levi |
| 2019 | AISTATS | Learning to Optimize under Non-Stationarity. | Wang Chi Cheung, David Simchi-Levi, Ruihao Zhu |
| 2019 | EC | Tight Weight-dependent Competitive Ratios for Online Edge-weighted Bipartite Matching and Beyond. | Will Ma, David Simchi-Levi |
| 2017 | ICDM | A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling. | Yan Zhao, Xiao Fang, David Simchi-Levi |
| 2017 | SDM | Uplift Modeling with Multiple Treatments and General Response Types. | Yan Zhao, Xiao Fang, David Simchi-Levi |
| 2008 | SODA | Fully polynomial time approximation schemes for stochastic dynamic programs. | Nir Halman, Diego Klabjan, Chung-Lun Li, James B. Orlin, David Simchi-Levi |
| 2001 | IPCO | The Asymptotic Performance Ratio of an On-Line Algorithm for Uniform Parallel Machine Scheduling with Release Dates. | Cheng-Feng Mabel Chou, Maurice Queyranne, David Simchi-Levi |