Scholar
Ali Kavis
Google Scholar ID: sPrPq6oAAAAJ
Postdoctoral Fellow, UT Austin
Citations & Impact
Citations
527
H-index
8
i10-index
8
Publications
18
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in top conferences such as NeurIPS, ICLR, ICML, including but not limited to 'Understanding Self-Supervised Learning via Gaussian Mixture Models', 'Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization'.
Research Experience
- Postdoctoral Fellow at UT Austin; involved in various research projects focusing on optimization algorithms and machine learning.
Education
- Obtained PhD degree from EPFL in August 2023.
Background
- Currently a postdoctoral fellow at UT Austin, affiliated with the IFML and the TRIPODS institute. Research focuses on developing universal and parameter-free algorithms for solving stochastic optimization problems, ranging from first-order minimization to second and higher-order methods, as well as their extensions to variational inequalities, games, and min-max optimization.
Miscellany
- No specific information provided about personal interests or hobbies.
