Shai Ben- David
Dr. Shai Ben-David earned his PhD in mathematics from the Hebrew University. Over the years, he has been a Professor at the Technion, Haifa, Israel and held visiting faculty positions at the Australian National University, Cornell University, ETH Zurich, and TTI Chicago. His research interests span a
range of topics including logic, theory of distributed computation, machine learning, and complexity theory. He routinely serves as a senior area chair in the major machine learning conferences (NeurIPS, ICML, AISTATS, COLT and ALT) and won best paper awards in COLT 2006, NeurIPS 2018 and ALT 2023. He is a co-author of a popular textbook "Understanding Machine Learning: From theory to practice."
Affiliations and expertise
Professor, David Cheriton School of Computer Science, University of Waterloo, Canada.