About
About
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I am Abhijeet Vyas a 4th Year Ph.D. candidate at Purdue University, working in min-max optimization, privileged to be guided by Prof. Brian Bullins . 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. At Caltech I was hosted by Anima Anandkumar and Kamyar Azizzadenesheli served as my advisor for the first year at Purdue .
News
6/18/2025 Reviewer for ACL
5/19/2025 Reviewer for Neurips 2025
5/5/2025 Passed Prelims - now PhD candidate in CS at Purdue.
4/19/2025 Gave a talk on Min-max optimization beyond monotonicity at SIAM student conference 2025
3/24/2025 Reviewer for TMLR.
3/12/2025 Gave a talk on Beyond first-order methods for non-convex non-concave min-max optimization at the Purdue Graduate symposium 2025.
1/8/2025 Teaching Assistant for CS471
8/15/2024 Teaching Assistant for CS571
1/8/2024 Teaching Assistant for CS471
4/13/2024 Gave a talk on Mirror Free Proximal Methods in SIAM student conference 2024 at Purdue.
7/23/2023 Presented Competitive Gradient Optimization at 40th ICML, 2023.
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.
5/27/2022 Preprint of Competitive Gradient Optimization posted to Arxiv.
8/15/2021 Teaching Assistant for CS471
Non-Convex Non -Concave Competitive Optimisation
Non-Convex Non -Concave Competitive Optimisation
Learning Theory
Learning Theory
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