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.
Current Student: Pravesh Kothari.
(Former) Student: Alexander Sherstov, Assistant Professor, UCLA.
(Former) Postdocs: Parikshit Gopalan Researcher, MSR-SVC;
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