Yeshwanth Cherapanamjeri

Yeshwanth is a PhD student at UC Berkeley, advised by Peter Bartlett. Yeshwanth is broadly interested in statistical and computational issues arising in machine learning and statistics, focusing on the development of efficient algorithms and computational lower bounds.

Program Visits

Data-Driven Decision Processes, Fall 2022, Visiting Graduate Student

Graph Limits and Processes on Networks: From Epidemics to Misinformation, Fall 2022, Visiting Graduate Student

Causality, Spring 2022, Visiting Graduate Student

Learning and Games, Spring 2022, Visiting Graduate Student

Computational Complexity of Statistical Inference, Fall 2021, Visiting Graduate Student

Geometric Methods in Optimization and Sampling, Fall 2021, Visiting Graduate Student

Probability, Geometry, and Computation in High Dimensions, Fall 2020, Visiting Graduate Student

Geometry of Polynomials, Spring 2019, Visiting Graduate Student