Hi, I'm Etash Guha
I'm a researcher at SambaNova Systems in Palo Alto, California.
I research how to use Machine Learning Theory for AI Safety. Specifically, I develop and analyze algorithms to ensure Deep Learning and Reinforcement Learning can be used in High Stakes Environments. I investigate properties such as Robustness, Uncertainty, Bias, Generalization, and more.
I am currently a Researcher at SambaNova Systems working on the reliability of Large Language Models. Most recently, I was a Research Intern under Dr. Emtiyaz Khan on the Approximate Bayesian Inference Team at RIKEN AIP in Tokyo, Japan. I was both an undergraduate student and Research Assistant at Georgia Tech where I worked with Vidya Muthukumar, Ashwin Pananjady, Jacob Abernethy, and Xiaoming Huo.
Featured Research Publications
Conformalization of Sparse Generalized Linear Models
International Conference of Machine Learning 2023
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching
Under Review at ICLR 2024