Algorithms for Data Science

Harvard FAS

This is a graduate topics class on theoretical aspects of modern machine learning. Unlike previous offerings of this course, this iteration will focus on recent developments in diffusion generative modeling. The course will explore foundational aspects (Itô processes, discretization analysis, connections to stochastic optimal control and stochastic localization, and the complexity of score estimation) as well as empirical aspects for which the associated theory is…