Calculus of Variations and Geometric Measure Theory
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School on The Mathematics of Machine Learning

created by dimarino on 22 Nov 2021

10 jan 2022 - 14 jan 2022   [open in google calendar]

Pisa: Centro De Giorgi

This introductory school, as well as the associated workshop that will the following week, is organized within the framework of the Dipartimento di Eccellenza "Classe di Scienze” of the Scuola Normale Superiore. The introductory week will focus on master level courses introducing the mathematical basis of machine learning.
In particular the boot-camp week will focus on the following topics:

1) Statistical Learning Theory and Regularization (L. Rosasco)
2) Optimization for Machine Learning (S. Villa)
3) Optimal Transport and Machine Learning (S. Di Marino, A. Gerolin)

The School will take place in hybrid mode, with a maximum of 50 people in presence.
The lectures will target a broad audience of early stage mathematicians (Ph.D and advanced Master level): the prerequisites will be master level courses in probability, calculus and linear algebra.

The deadline for application is 1st December 2021. For the application procedure, please go to Registration
The confirmation of admission for the school will be communicated to registered participants in the first half of December.

The workshop will take place in hybrid mode, with a maximum of 50 persons in presence. Upon reaching this maximum limit, registration will close automatically. In the event of impediments due to new covid-19 pandemic measures, the school will run completely from remote on the same dates.

Online participation requires registration as well. If you plan on attending online, send an email to the address: crm@sns.it

Organizers: Simone Di Marino, Augusto Gerolin, Lorenzo Rosasco, Silvia Villa.

Speakers: Simone Di Marino, Augusto Gerolin, Lorenzo Rosasco, Silvia Villa.

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