Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints. - David Simchi-Levi; Yunzong Xu (NeurIPS, 2019)

Network Revenue Management with Limited Switches: Known and Unknown Demand Distributions. - David Simchi-Levi; Yunzong Xu; Jinglong Zhao (CoRR, 2019)

Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective. - Dylan J. Foster; Alexander Rakhlin; David Simchi-Levi; Yunzong Xu (COLT, 2021)

Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation. - Dylan J. Foster; Akshay Krishnamurthy; David Simchi-Levi; Yunzong Xu (COLT, 2022)

Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits Under Realizability. - David Simchi-Levi; Yunzong Xu (Math. Oper. Res., 2022)

Online Pricing with Offline Data: Phase Transition and Inverse Square Law. - Jinzhi Bu; David Simchi-Levi; Yunzong Xu (Manag. Sci., 2022)

Assortment Optimization for a Multistage Choice Model. - Yunzong Xu; Zizhuo Wang 001 (Manuf. Serv. Oper. Manag., 2023)

Phase Transitions in Bandits with Switching Constraints. - David Simchi-Levi; Yunzong Xu (Manag. Sci., 2023)

Greedy Algorithm for Structured Bandits: A Sharp Characterization of Asymptotic Success / Failure. - Aleksandrs Slivkins; Yunzong Xu; Shiliang Zuo (CoRR, 2025)