Steve Hanneke
Assistant Professor of Computer Science
Joined department: Fall 2021
Education
Steve's research explores the theory of machine learning, with a focus on reducing the number of training examples sufficient for learning. His work develops new approaches to supervised, semi-supervised, active, and transfer learning, and also revisits the basic probabilistic assumptions at the foundation of learning theory.