A rough path between mathematics and data science
Harald Oberhauser
Some Applications of Expected Signatures
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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.