Google

Aviso: Se está a ler esta mensagem, provavelmente, o browser que utiliza não é compatível com os "standards" recomendados pela W3C. Sugerimos vivamente que actualize o seu browser para ter uma melhor experiência de utilização deste "website". Mais informações em webstandards.org.

Warning: If you are reading this message, probably, your browser is not compliant with the standards recommended by the W3C. We suggest that you upgrade your browser to enjoy a better user experience of this website. More informations on webstandards.org.

MAEG  >  Mathematics, Physics & Machine Learning Seminar

Licenciatura em Matemática Aplicada à Economia e à Gestão

Anúncios de eventos Link

Mathematics, Physics & Machine Learning Seminar Link

Mathematics, Physics & Machine Learning

06/01/2021

To be held online at: https://videoconf-colibri.zoom.us/j/91599759679

No password needed for this session.

Sanjeev Arora06/01/2021, 18:00 ? 19:00 Europe/Lisbon ? Online
Sanjeev Arora, Computer Science Department, Princeton University

The quest for mathematical understanding of deep learning

Deep learning has transformed Machine Learning and Artificial Intelligence in the past decade. It raises fundamental questions for mathematics and theory of computer science, since it relies upon solving large-scale nonconvex problems via gradient descent and its variants. This talk will be an introduction to mathematical questions raised by deep learning, and some partial understanding obtained in recent years with respect to optimization, generalization, self-supervised learning, privacy etc.



The IST seminar series Mathematics, Physics & Machine Learning aims at bringing together mathematicians and physicists interested in machine learning (ML) with  ML and AI experts interested in mathematics and physics, with the goals of introducing innovative mathematics and physics-inspired techniques in ML and, reciprocally, applying ML to problems in mathematics and physics.

Organizers: Cláudia Nunes (DM and CEMAT), Cláudia Soares (DEEC and ISR), Francisco Melo (DEI and INESC-ID), João Seixas (DF and CEFEMA), João Xavier (DEEC and ISR), José Mourão (DM and CAMGSD), Mário Figueiredo (DEEC and IT), Pedro Alexandre Santos (DM and INESC-ID) and Yasser Omar (DM and IT).