Yunbei Xu

Email: yunbei [at]

I am currently a postdoctoral associate at MIT. 

My research interests include machine learning, operations research, and statistical physics. 


Postdoc, MIT, 2023-2024

   Advisor: Sasha Rakhlin

Ph.D., Columbia University, 2018-2023

   Advisor: Assaf Zeevi

B.Sc., Peking University, 2014-2018

   Dept. of Mathematics

Starting Fall 2024, I will be an Assistant Professor at NUS ISEM.


•  Bayesian Design Principles for Frequentist Sequential Learning (this is the arXiv link to the full version, which is the authors’ recommended version)

   with Assaf Zeevi. 

    - short version in International Conference on Machine Learning (ICML) 2023. Code

    - ICML Outstanding Paper Award

    - INFORMS George Nicholson Student Paper Competition, First Place

    - Applied Probability Society Best Student Paper Award, Finalist

•  Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory

   with Assaf Zeevi. 

    - Mathematics of Operations Research, 2024.

    - Applied Probability Society Best Student Paper Award, Finalist

   Towards Problem-dependent Optimal Learning Rates

   with Assaf Zeevi.

    - Conference on Neural Information Processing Systems (NeurIPS) 2020.

    - Spotlight (top 2.9%)

•  Upper Counterfactual Confidence Bounds: a New Optimism Principle for Contextual Bandits

   with Assaf Zeevi.

•  Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures 

   with Yanli Liu and Wotao Yin.

    - Journal of Scientific Computing, 2021. Code

•  Offline Learning from Partial Feedback with Continuous Actions

   with Khashayar Khosravi, Ayeong Lee, and Hongseok Namkoong. 

•  Statistical Properties of Robust Satisficing

   with Zhiyi Li and Ruohan Zhan. 


Teaching Assistant: Statistical Physics, Markets and Algorithms (Fall 2019, instructed by Yash Kanoria)