About
Affiliations:
Faculty Member, Vector Institute; Professor, Cheriton School of Computer Science, University of Waterloo
Expertise:
Clustering, fairness and interpretability, semi-supervised learning, societal impact of machine learning, statistical machine learning, theoretical machine learning
Major Contributions/Awards:
Pioneering contributions to theoretical machine learning, including sample complexity of learning and theoretical foundations of clustering; Best Paper Award NeurIPS (2018); Co-Author of the seminal textbook Understanding Machine Learning: From Theory to Algorithms
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