Nishant Mehta
Associate professor; combined program advisor for Statistics/CSC
Computer Science
- Contact:
- Office: ECS 608 nmehta@uvic.ca 250-472-5798
- Area(s) of expertise:
- Machine learning theory
About Nishant
Nishant is an associate professor of computer science at the University of Victoria.
Nishant's research focuses on developing and analyzing theoretically-principled methods for machine learning, also known as machine learning theory. His work spans online learning and sequential prediction including prediction with expert advice, multi-armed bandits, and reinforcement learning theory, as well as statistical learning theory, covering empirical process theory and PAC-Bayesian methods.
He also works on transfer learning, with a particular interest in lifelong learning and principled methods of transferring representations. More recently, his attention has turned to problems of learning in the presence of self-interested agents.