Advanced Topics in Computer Science: Mathematical Understanding of Deep Learning

The course focuses on the ongoing quest for mathematical understanding of deep learning. We touch upon various ways to understand dynamics of training and how it affects generalization and other properties of the net. Of special interest is using theoretical insights to understand applications of deep learning to vision, language, self-supervised learning and other domains. We also cover robustness and privacy. The instructor gives most of the lectures. Coursework includes 3 homeworks, scribing lecture notes, and a course project. Not open to undergraduates except for very advanced students approved by the instructor.