Machine Learning: From Data to Mathematical Understanding
Cetraro (CS) - July 03-07, 2023
Practical information - Schedule - External website
Scientific Directors:
Claudio Agostinelli, Univ. Trento, Italy
Massimo Fornasier, Technical Univ. Munich, Germany
Lorenzo Rosasco, Univ. Genova and IIT, Italy, and MIT, USA
Rebecca Willett, University of Chicago, USA
Lectures:
Philippe Rigollet, MIT, USA - An optimization perspective on sampling
Lorenzo Rosasco, Univ. Genova and IIT, Italy, and MIT, USA. - Regularization Approaches to Machine Learning
Carola-Bibiane Schönlieb, Univ. Cambridge, UK - Data-driven approaches to inverse problems (slides-1, slides-2, slides-3)
Joel Tropp, Caltech Pasadena, USA - Randomized algorithms for linear algebra
Stephen Wright, Univ. Wisconsin, USA - Fundamental Optimization Algorithms for Data Science (slides-1, slides-2, slides-3)
You can apply from January 01, 2023 to April 15, 2023 Apply NOW
CIME activity is supported by INdAM, EMS and Springer.
This School is supported by:
Dipartimento di Matematica, Università di Trento
ERC project "High-Dimensional Sparse Optimal Control", Technical University of Munich.