Scholar
Nishant A. Mehta
Google Scholar ID: YGeqVQkAAAAJ
Assistant Professor, University of Victoria
Citations & Impact
Citations
548
H-index
10
i10-index
10
Publications
20
Co-authors
26
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published papers include but are not limited to: 'No-Regret Incentive-Compatible Online Learning', 'Data-dependent Bounds with T-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching', etc., covering a wide range of topics such as online learning, multi-armed bandits, distributionally robust optimization, and more, published in top conferences like EC, COLT, ICML, AISTATS, NeurIPS, etc.
Research Experience
- Currently an Associate Professor in the Department of Computer Science at the University of Victoria. Previously a postdoc at CWI (Amsterdam) and the Australian National University (Canberra).
Education
- PhD: College of Computing at Georgia Tech, Advisor: Alex Gray; Postdoc: CWI in Amsterdam (with Peter Grünwald); Australian National University in Canberra (with Bob Williamson).
Background
- Research focuses on developing and analyzing theoretically-principled methods for machine learning. Specifically interested in online learning/sequential prediction (prediction with expert advice, multi-armed bandits, reinforcement learning theory), statistical learning theory (empirical process theory, PAC-Bayesian methods), and transfer learning (especially lifelong learning and principled methods of transferring representations). Recently, interested in problems of learning in the presence of self-interested agents.
Miscellany
- Personal interests not explicitly mentioned.
