About
I am Abhijeet Vyas a 3rd Year Ph.D. student at Purdue University, privileged to be guided by Prof. Brian Bullins working in min-max optimization . I had the fortune of doing my Bachelors in Electrical Engineering and Masters in Data Science (Dual Degree Program) from the Indian Institute of Technology Madras . I have had industrial experiences at Texas Instruments and research experience at Caltech and Purdue.
अहं ब्रह्मास्मि ||
"Our deepest fear is not that we are inadequate. Our deepest fear is that we are powerful beyond measure. It is our light, not our darkness that most frightens us."
~Mariann Williamson
News
4/24/2023 Competitive Gradient Optimization accepted in 40th ICML, 2023.
4/17/2023 Preprint of Beyond first-order methods for non-convex non-concave min-max optimization posted to Arxiv.
1/30/2023 Preprint of Fast Resolution Agnostic Neural Techniques to Solve Partial Differential Equations posted to Arxiv.
5/27/2022 Preprint of Competitive Gradient Optimization posted to Arxiv.
Non-Convex Non -Concave Competitive Optimisation
Learning Theory
