I am a Ph.D. student in mathematics. My research interests broadly encompass probability theory and its applications in machine learning, with a particular focus on the analysis of sampling and optimization algorithms.
Probability Theory
Machine Learning
Sampling
Optimization
Neural Networks
Current Collaborations
- Dr. Krishnakumar Balasubramanian University of California, Davis and Dr. Quan Zhou Texas A&M University, College Station
- We are working on developing and analyzing discrete Langevin dynamics to sample from classical energy-based models like the Ising and Potts model.
- Dr. Dheeraj Nagaraj Google DeepMind and Dr. Anant Raj Indian Institute of Science
- We are working on analyzing an algorithm to sample from the mean-field Langevin dynamics using optimization in the space of probability measures. We also analyze applications to mean-field neural networks.