Machine Learning: From Data to Mathematical Understanding
Levico Terme (TN) - July 4 - July 8, 2020

Dear colleagues, As you may have already heard, the Italian government has declared a state of alarm until 3 April due to the COVID-19 health emergency (and very likely this state of emergency will persist in the next months). This means that, at the moment, we are unable to guarantee that the events will take place as planned during the announced dates in July 2020. In light of these circumstances, CIME has decided to temporarily suspend the registration. In order to minimize further disruption for attendees, we recommend that participants postpone making any further travel and accommodation bookings. The final decision concerning possible deadline extensions or postponement of the schools will be announced as soon as possible. Status updates will be published on this web page and on the CIME home page: We sincerely apologize for any inconvenience. We hope that the situation will normalize soon and we all can resume our normal activities. The organizing committee remains at your disposal. CIME Staff
CIME-CIRM- EMS Summer School in Applied Mathematics

Course directors:

C. Agostinelli (Univ. Trento, Italy)
M. Fornasier (Technical Univ. Munich, Germany )
L. Rosasco (Univ. Genova- IIT, Italy - MIT, U.S.A.)
R. Willett (Univ. Chicago, U.S.A.)

You can apply
from Dec 1, 2019
to Mar 23, 2020


P. Rigollet
Statistical Optimal Transport

L. Rosasco
Univ. Genova- IIT, Italy - MIT, U.S.A.
Regularization Approaches to Machine Learning

C. Schoenlieb
Univ. Cambridge, U.K.
Mathematical imaging and Machine Learning

J. Tropp
California Institute of Technology - USA
Randomized algorithms for linear algebra

S. Wright
Univ. Wisconsin, USA
Fundamental Optimization Algorithms for Data Science

CIME activity is carried out with the collaboration and financial support of:
- INdAM (Istituto Nazionale di Alta Matematica)