HKSIAM Seminar by E. Zuazua: Turnpike control and deep learning

HKSIAM Seminar by E. Zuazua: Turnpike control and deep learning

Worldwide. This wednesday November 25th. our Head Enrique Zuazua will be talking about “Turnpike control and deep learning” in the Applied Mathematics Seminars for HKSIAM and Hong Kong Universities organized by the Hong Kong Society for Industrial and Applied Mathematics (HKSIAM) and the Department of Mathematics Hong Kong Baptist University.

The tunrpike principle asserts that in long time horizons optimal control strategies are nearly of a steady state nature.In this lecture we shall survey on some recent results on this topic and present some its consequences on deep supervised learning.

This lecture is based on joint work with our team member Carlos Esteve, Borjan Geshkovski and Dario Pighin.

WHEN?
November 25, 2020 at 09:00H

Join this session via Zoom

See more details at the HKSIAM event page