School on Mathematical and Computational Aspects of Machine Learning (Pisa, 7-11 October 2019)

The School will take place at the Ennio De Giorgi Mathematical Research Center of

the Scuola Normale Superiore in Pisa, Italy, on October 7-11, 2019.  The lectures

will give a broad overview of the rapidly evolving field of Machine Learning from a

mathematical, statistical, and computational perspective. The school is aimed primarily

at PhD students, post-docs and young researchers.

Lecturers and Topics:

Jean Barbier (ICTP Trieste):  Mean Field Theory of High-Dimensional Bayesian Inference

Philipp Grohs (U. of Vienna): Approximation theory, Numerical Analysis and Deep Learning

Gabriel Peyre` (ENS Paris and CNRS): Optimal Transport for Data Science

Lars Ruthotto (Emory U.): Numerical Methods for Deep Learning

Stefano Soatto and Alessandro Achille (UCLA):  Representation Learning

Participation is free but limited to a maximum of 90 participants.  There will be the possibility

for a small number (10-12) of participants to give a short communication on their own work in

the field of ML.

Deadlines:

Submission of abstracts: July 31, 2019  [decision communicated by August 15]

Application to participate: August 31, 2019 [decision communicated by September 15]