Andre Wibisono
About
I am an assistant professor in the Department of Computer Science at Yale University, with a secondary appointment in the Department of Statistics & Data Science. My research interests are in the design and analysis of algorithms for machine learning, in particular for problems in optimization, sampling, and game theory. I received my BS degrees in Mathematics and in Computer Science from MIT. I received my MEng in Computer Science from MIT, advised by Tomaso Poggio. I received by MA in Statistics from UC Berkeley, and my PhD in Computer Science from UC Berkeley, advised by Michael I. Jordan. Before joining Yale in 2021, I have done postdoctoral research at the University of Wisconsin-Madison, working with Po-Ling Loh and Varun Jog, and at the Georgia Institute of Technology, working with Jacob Abernethy and Santosh Vempala.
Research Performance Summary
First Recorded Paper
Sufficient conditions for uniform stability of regularization algorithms
Year: 2009
Citations: 18
Venue: Computer Science and Artificial Intelligence Laboratory Technical Report
Latest Recorded Paper
Tail-Sensitive KL and R\'enyi Convergence of Unadjusted Hamiltonian Monte Carlo via One-Shot Couplings
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2601.09019
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.