Xu Yunbei

Xu Yunbei is an Assistant Professor in the Department of Industrial Systems Engineering and Management at the National University of Singapore. He holds a PhD in Decision, Risk and Operations from Columbia University, a postdoctoral fellowship at MIT's Laboratory for Information and Decision Systems (LIDS), and a BSc in Pure Mathematics from Peking University.

• Education: Postdoc (MIT), PhD (Columbia), BSc (Peking University)
• Research Interests: Interdisciplinary work bridging Artificial Intelligence, Decision Science, and Statistical Physics.

His research focuses on sequential learning algorithms, optimization theory, and robust decision-making frameworks. Recent work explores problem-dependent generalization bounds in machine learning, bandit learnability, and accelerated primal-dual methods for computational efficiency.

His publications at top conferences (NeurIPS, ICML) and journals (Journal of the ACM, Mathematics of Operations Research) demonstrate expertise in algorithmic design, statistical inference, and theoretical foundations of AI.

• ICML Outstanding Paper Award (2023)
• INFORMS George Nicholson Student Paper Competition First Place
• Applied Probability Society Best Student Paper Award Finalist

Xu actively mentors PhD students and postdocs, including Shaojie Li, Yujie Liu, Yuzhe Yuan, Zhiyi Li, and Chung Nguyen. He teaches courses in stochastic modeling and decision analysis at NUS.