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Steve Hanneke is an Assistant Professor in the Department of Computer Science at Purdue University. He joined the department in Fall 2021. His research explores the theoretical aspects of machine learning, particularly focusing on reducing the number of training examples necessary for sufficient learning. His work develops new approaches in supervised, semi-supervised, active, and transfer learning, while also revisiting the basic probabilistic assumptions that form the foundation of learning theory.
Purdue University • West Lafayette, IN
Teaching and conducting research in the Department of Computer Science.
GRE is not required.