Graduate Student, UC Berkeley
Kush Bhatia is a PhD student in the EECS Department at UC Berkeley where he is co-advised by Peter Bartlett and Anca Dragan. His research mainly focuses on statistical machine learning, high-dimensional statistics, and optimization. Before coming to Berkeley, he spent two years as a research fellow at Microsoft Research India working with Prateek Jain and Manik Varma.
Theory of Reinforcement Learning , Fall 2020Visiting Graduate Student
Foundations of Data Science , Fall 2018Visiting Graduate Student