Adam Klivans
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: Aravind Gollakota, Konstantinos Stavropoulos, Kulin Shah.
Analytic Methods for Supervised Learning I
Analytic Methods for Supervised Learning II
Analytic Methods for Supervised Learning III
Analytic Methods for Supervised Learning IV
BONUS TALK:
Moment-Matching Polynomials
in which we suggest a notion of noise-stability for non-product distributions.
Teaching Fall 2019: CS311 Mathematics For Computer Science
Teaching Spring 2019: CS378H Honors Data Mining
Research Professor, MSRI Workshop on Quantitative Geometry, Berkeley 2011.
PC Co-Chair: COLT 2009, in Montreal.
Editorial Board: Theory of Computing and Machine Learning Journal.
Program Committees:
COLT 2009 (Chair), COLT 2019, FOCS 2019.
Former Postdocs: Parikshit Gopalan Researcher, MSR-SVC;
Homin Lee, Senior Data Scientist, Bundle.
Research Interests:
Learning Theory, Computational Complexity, Pseudorandomness, Limit Theorems, and Gaussian Space.
Support
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:
E-mail:
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