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MAEG  >  Mathematics, Physics & Machine Learning Seminar

Licenciatura em Matemática Aplicada à Economia e à Gestão

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Mathematics, Physics & Machine Learning Seminar Link

Mathematics, Physics & Machine Learning


To be held online at:

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).