Vidya Muthukumar


PhD Student
Department of Electrical Engineering and Computer Science
University of California, Berkeley

vidya.muthukumar (at) eecs (dot) berkeley (dot) edu
264 Cory Hall

Berkeley Laboratory for Information and System Sciences (BLISS)


Interning at IBM Research AI in summer 2018
Preprint on robust model selection for online supervised learning
Poster on online model selection presented at Information Theory and Applications, San Diego, 2018.
Talk and poster on robust commitments and partial reputation presented at NIPS 2017 workshop on Learning in the presence of Strategic Behavior.

About me

I am a fourth year graduate student in the EECS Department at UC Berkeley, advised by Anant Sahai. My thesis committee members are Jean Walrand, Peter Bartlett, and Shachar Kariv.

I’m interning at IBM Research AI as a Science for Social Good Fellow for the summer, primarily collaborating with Kush Varshney.

My broad interests are in game theory, online learning, statistics and reinforcement learning. Recently, I’m particularly interested in designing learning algorithms that provably adapt in strategic environments. I’m also intrigued by the implications of partial leader commitment in Stackelberg games. Some other topics I’ve worked on include theoretical and empirical studies of incentive mechanisms for spectrum sharing, and ranking from partial pairwise comparisons.

I TAed and co-designed the first full-scale offering of EE16A in Fall 2015 at UC Berkeley, and served as the co-president of Women in Computer Science and Electrical Engineering (WICSE) for the academic year 2016-17.