Youssef Marzouk

MIT
Scientific, Colloquia
UBC Math Department Colloquium: Youssef Marzouk
September 6, 2024
University of British Columbia
Transportation of measure underlies many powerful, contemporary tools for Bayesian inference, density estimation, and generative modeling. The essential idea is to couple the target probability distribution with a simple, tractable ``reference''...
Scientific, Distinguished Lecture
PIMS/CSC Distinguished Speaker: Youssef Marzouk
March 21, 2016
Simon Fraser University
Bayesian inference provides a natural framework for quantifying uncertainty in model parameters and predictions, and for combining heterogeneous sources of information. But the computational demands of the Bayesian framework constitute a major...