Research interests
Machine learning theory Unsupervised learning and clustering Domain adaptation and transfer learning Fairness, reliability and interpretability of machine learning-based tools Logic and its applications to computer science theory Alternatives to worst-case complexity | Machine Learning and Algorithms; Machine Learning and Data Classification; Computability, Logic, AI Algorithms; Algorithms and Data Compression; Advanced Clustering Algorithms Research
Biography
Shai Ben-David is Professor, and University Research Chair at the University of Waterloo, affiliated with Computer Science, Data Science. This summary considered 4 collected sources. Listed research or teaching areas include Machine learning theory Unsupervised learning and clustering Domain adaptation and transfer learning Fairness, reliability and interpretability of machine learning-based tools Logic and its applications to computer science theory Alternatives to worst-case complexity; Machine Learning and Algorithms; Machine Learning and Data Classification; Computability, Logic, AI Algorithms; Algorithms and Data Compression; Advanced Clustering Algorithms Research.