Nov'24: Gave a talk at UW-Madison SILO on 'Confidence Sequences via Online Learning';
Oct'24: 2 papers accepted to NeurIPS;
May'24: 2 papers accepted to ICML;
May'24: 1 paper accepted to COLT;
Feb'24: Will serve as an action editor for the journal Machine Learning;
Jan'24: 1 paper accepted to AISTATS;
Dec'23: 1 paper accepted to NeurIPS.
Research Experience
Before joining the University of Arizona, he was a postdoctoral researcher at Boston University; obtained his PhD from the University of Wisconsin-Madison and held a postdoctoral position at the Wisconsin Institute for Discovery.
Education
PhD: University of Wisconsin-Madison, Advisor: Xiaojin (Jerry) Zhu;
Postdoc: Boston University, Advisor: Francesco Orabona;
Postdoc: Wisconsin Institute for Discovery, Collaborators: Robert Nowak, Rebecca Willett, Stephen Wright.
Background
Research interests: Interactive Machine Learning (IML), including reinforcement learning, bandits, Bayesian optimization, and active learning. Also develops novel confidence bounds that often become key tools for constructing efficient IML algorithms. Recently, he has been looking into IML problems arising from GenAIs, including LLMs.