Summer Graduate School "Mathematics of Machine Learning" - 2022
25 July to 5 August 2022
Organizers:
Sebastien Bubeck (Microsoft Research), Adith Swaminathan (Microsoft Research)
Main Speakers:
1. Nicolas Flammarion (Ecole polytechnique fédérale de Lausanne): Convex optimization
2. Rob Schapire (Microsoft Research,NYC lab): Statistical Learning Theory
3. Joan Bruna (Courant Institute and the Center for Data Science): Deep learning
4. Nicolò Cesa-Bianchi (Università degli Studi di Milano): Online learning
5. Emma Brunskill (Stanford University): Reinforcement Learning
Abstract
This school is offered as a partnership by Istituto Nazionale di Alta Matematica (INdAM), Scuola Matematica Iteruniversitaria (SMI), Mathematical Sciences Research Institute (MSRI) and the Courant Institute of Mathematical Sciences.
Learning theory is a rich field at the intersection of statistics, probability, computer science, and optimization. Over the last decades the statistical learning approach has been successfully applied to many problems of great interest, such as bioinformatics, computer vision, speech processing, robotics, and information retrieval. These impressive successes relied crucially on the mathematical foundation of statistical learning.
Recently, deep neural networks have demonstrated stunning empirical results across many applications like vision, natural language processing, and reinforcement learning. The field is now booming with new mathematical problems, and in particular, the challenge of providing theoretical foundations for deep learning techniques is still largely open. On the other hand, learning theory already has a rich history, with many beautiful connections to various areas of mathematics (e.g., probability theory, high dimensional geometry, game theory). The purpose of the summer school is to introduce graduate students (and advanced undergraduates) to these foundational results, as well as to expose them to the new and exciting modern challenges that arise in deep learning and reinforcement learning.
Application and participation
Applications can be submitted exclusively online, on the form below.
Applications start: 29 april, 2022
Deadline for applications is MAY 31, 2022.
A selection committee will meet shortly afterwards and all accepted applicants will be notified of the result in due time.
Applications should contain a BRIEF CURRICULUM VITAE and a DETAILED CURRICULUM STUDIORUM. The exact e-mail address to which all correspondence concerning the Summer courses has to be mailed should be clearly stated.
Selected people will be informed by e-mail.
Participation is free of charge.
Informations:
For informations concerning the organization of the courses, please contact:
silvana.boscherini@gmail.com