I am on the organizing committee for the STOC 2018 Theory Fest, the STOC 2017 Theory Fest, chair for the STOC 2017 Workshop Program, and was recently on Program Committees for STOC 2016 and COLT 2014. I also co-organized the STOC 2013 Workshop on New (Theoretical) Challenges in Machine Learning. For more information on my research, see the publications and research interests links below.
|Survey Talks||Past Courses|
|My SODA 2015 talk on New Directions in Learning Theory and a short essay.|
|Blum, Hopcroft, & Kannan, Foundations of Data Science (as of June 2017).|
Current PhD advisees: Nika Haghtalab (co-advised with Ariel Procaccia).
Past PhD advisees: Prasad Chalasani, Santosh Vempala, Carl Burch, Adam Kalai, John Langford, Nikhil Bansal, Martin Zinkevich, Shuchi Chawla, Brendan McMahan, Nina Balcan, Shobha Venkataraman, Mugizi Robert Rwebangira, Katrina Ligett, Aaron Roth, Or Sheffet, Pranjal Awasthi, Liu Yang, Ankit Sharma, Jamie Morgenstern.
[Last updated August 2017]