News

Next year I'll be joining the Department of Statistics at Wharton, University of Pennsylvania. This fall I'll be visiting Microsoft Research, New England.

Research

My research interests are in artificial intelligence and machine learning --- including unsupervised (and representational) learning, algorithmic statistics, probabilistic inference, reinforcement learning, and computational learning theory. During my postdoc, I also did a fair bit of work on computational and learning issues in game theoretic and economic settings. As a graduate student, I focused on reinforcement learning in both artificial and biological systems. My thesis was on sample complexity issues in reinforcement learning.

Bio

I completed a postdoc in the Computer and Information Science department at the University of Pennsylvania under the supervision of Michael Kearns. I completed my PhD at the Gatsby Unit where my advisor was Peter Dayan. Before Gatsby, I was an undergraduate at Caltech where I did my BS in physics.

Publications  

Courses

Large Scale Learning

Learning Theory

AI 101

Contact Info

Email: sham [at] tti-c [dot] org

Office: (773) 834 2550

Sham M. Kakade
6045 S. Kenwood Ave.
TTI-C
Chicago, IL 60637