Description: Foundations of machine learning and statistics; Bayesian nonparametric statistics; computable probability theory; probabilistic programming languages.
church (16191) nonstandard analysis (5) droy (4) graphex (3) dan roy (2) daniel m. roy (2) mondrian process (2) probabilistic programming (2) computable probability theory (2)
Associate Professor
Department of Statistical Sciences Department of Computer Science (cross-appointment) Department of Electrical and Computer Engineering (cross-appointment) University of Toronto
Department of Computer and Mathematical Sciences University of Toronto Scarborough