Harald Oberhauser
Some Applications of Expected Signatures
Abstract
Expected Signatures can characterize laws of stochastic processes analogous to how classical moments can characterize the laws of vector-valued random variables. I will talk about some recent applications of these ideas in machine learning, signal processing, and optimization and how such applications give rise to interesting theoretical questions.
