[CvGmt News] [cvgmt event] School on The Mathematics of Machine Learning

simone.dimarino at unige.it simone.dimarino at unige.it
Thu Nov 25 23:08:41 CET 2021


Dear all,

I just want to point out this School on the Mathematics of Machine learning, indicate for early stage mathematicians (PhD and master students). The partecipation of local master and PhD students is highly encouraged.

Please don't hesitate to share with your colleagues and students.

Have a nice day,

Simone

 School on The Mathematics of Machine Learning
-----------------------------------------

http://cvgmt.sns.it/event/671/

Date: Monday, Jan 10, 2022 -- Friday, Jan 14, 2022

Place: Pisa: Centro De Giorgi

This introductory school, as well as the associated [workshop|http://www.crm.sns.it/event/491/]
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|http://www.crm.sns.it/event/474/registration.html]
|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 at sns.it|mailto:crm at sns.it]

Organizing Commitee: S. Di Marino, A. Gerolin, L. Rosasco, S. Villa

Invited Speakers: S. Di Marino, A. Gerolin, L. Rosasco, S. Villa


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