Yeshwanth Cherapanamjeri
Graduate Student, UC Berkeley
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.
