I am a Postdoctoral researcher in the Department of Statistics and Data Science at CMU, working with Prof. Aaditya Ramdas. My research interests lie in the general areas of maching learning and sequential decision making. I am currently working on the problems of sequential nonparametric hypothesis testing and weighted sampling without replacement. In the past, I have worked on the topics of Bayesian Optimization, Active Learning and Reinforcement Learning.
PhD in Electrical Engineering
University of California, San Diego
M.E. in Electrical Engineering
Indian Institute of Science, Bangalore
B.E. in Electrical Engineering
Indian Institute of Technology, Kharagpur
[03/12/22] Uploaded a preprint on instance-dependent analysis of kernelized bandits. Update: Accepted @ICML2022.
[12/01/21] Uploaded a preprint on game-theoretic two-sample testing.
[09/28/21] Our paper Adaptive Sampling for Minimax Fair Classification got accepted at Neurips 2021.
[06/01/21] Awarded the Dr. Sassan Sheedvash Memorial Award by ECE Department, UCSD.
Selected list of graduate coursework in ECE and Math departments
The term in bracket denotes the number of courses in the series.
I have served as a TA for the following courses.