Email: yunbei [at] mit.edu

I am broadly interested in machine learning, operations research, and mathematical physics.

Postdoc, MIT, 2023-2024

Statistics and Data Science Center, Institute for Data, Systems, and Society

Advisor: Sasha Rakhlin

Ph.D., Columbia University, 2018-2023

Decision, Risk, and Operations, Graduate School of Business

Advisor: Assaf Zeevi

B.Sc., Peking University, 2014-2018

Department of Mathematics, School of Mathematical Sciences

Starting Fall 2024, I will be an Assistant Professor at NUS, affiliated with ISEM and IORA.

• Bayesian Design Principles for Frequentist Sequential Learning

with Assaf Zeevi.

*- International Conference on Machine Learning (ICML) 2023.*

** - ****Outstanding Paper Award; Oral**

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

with Assaf Zeevi.

- Minor Revision in *Mathematics of Operations Research*

** - ****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 and Hongseok Namkoong.

Instructor: *Real Analysis Math Camp* (Fall 2021)

Teaching Assistant: *Managerial Statistics* (Fall 2022 & Fall 2021, instructed by Assaf Zeevi)

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