The Workshop "Mathematics of Machine Learning" is associated with the
[introductory school|http://www.crm.sns.it/event/474/]
(10-14 January 2022) and is organized within the framework of the Dipartimenti di Eccellenza "Classe di Scienze”.

The spirit of these activities are related to that of the school:
[Mathematical and Computational Aspects of Machine Learning|http://crm.sns.it/event/451/index.html#title] organized at Centro De Giorgi in October 2019.

The workshop brings together Machine Learning researchers working on theoretical questions at the interface between mathematics and computer science. The speakers will introduce the mathematical foundations of Machine Learning, discuss the current state of the art but also highlight future research directions and open problems.

The lectures will target a broad audience of early stage mathematicians (Ph.D and advanced Master level) and focus on the following topics:
|1) Mathematics of Neural Networks (L. Chizat and A. Montanari)
|2) Optimal Transport, Statistics and Machine Learning (P. Rigollet)
|3) Applications in Computational Biology (Jean-Philippe Vert).

In principle, the School will take place at the Centro De Giorgi and the number of participants will be constrained to the capacity limit for this type of event.

The *deadline* for application is *1st December 2021*. For the application procedure, please go to [Registration|http://www.crm.sns.it/event/491/registration.html]. The confirmation of admission for the workshop 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|mailto:crm@sns.it]
http://cvgmt.sns.it/event/672/