Abhishek Shetty
Scholar

Abhishek Shetty

Google Scholar ID: M-y2aLUAAAAJ
Postdoctoral Fellow, Massachussetts Institute of Technology
Theoretical Computer ScienceSequential Decision-MakingDiscrepancy Theory
Citations & Impact
All-time
Citations
464
 
H-index
12
 
i10-index
15
 
Publications
20
 
Co-authors
41
list available
Resume (English only)
Academic Achievements
  • Published multiple papers such as 'Smoothed Analysis with Adaptive Adversaries' in Journal of the ACM, 'Optimal PAC Bounds Without Uniform Convergence' in FOCS 2023, etc.; Recipient of the Apple AI/ML Fellowship; Presented at several international conferences.
Research Experience
  • Current Postdoctoral Fellow at FODSI, MIT, hosted by Costis Daskalakis, Ankur Moitra, and Sasha Rakhlin; Internships at Microsoft Research India, Apple, and others.
Education
  • PhD - University of California, Berkeley, Advisor: Nika Haghtalab; Undergraduate - Indian Institute of Science, Major in Mathematics, Advisor: Bhavana Kanukurthi.
Background
  • Research Interests: Theoretical and practical aspects of machine learning, designing simple algorithms with provable guarantees, robustness, privacy, and fairness. Professional Field: Computer Science.
Miscellany
  • Personal interests not mentioned.