I am a Professor in the Computer Science Department and director of the new NSF AI Institute for Foundations of Machine Learning (IFML).
I also lead the UT-Austin Machine Learning Lab (MLL).
Current Students: Surbhi Goel, Sushrut Karmalkar, Aravind Gollakota.
Former Students: Pravesh Kothari, Alexander Sherstov.
Lectures I gave for the Real Analysis Boot Camp at the Simons Institute in September, 2013:
Analytic Methods for Supervised Learning I
Analytic Methods for Supervised Learning II
Analytic Methods for Supervised Learning III
Analytic Methods for Supervised Learning IV
in which we suggest a notion of noise-stability for non-product distributions.
PC Co-Chair: COLT 2009, in Montreal.
Homin Lee, Senior Data Scientist, Bundle.
Learning Theory, Computational Complexity, Pseudorandomness, Limit Theorems, and Gaussian Space.
Research supported by an NSF CAREER Award (The Computational Complexity of Halfspace-Based Learning), NSF Grant CCF-0728536 (The Computational Intractability of Machine Learning Tasks), and a Texas Advanced Research Program Award.
How to reach me:
klivans@cs *dot* utexas *dot* edu
The University of Texas at Austin
Department of Computer Science
Taylor Hall 2.124
1 University Station, C0500
Austin, TX 78712-1188