Course directors
Courses
- Adaptivity in High-Dimensional Statistical Learning
by Francis Bach (INRIA — Ecole Normale Supérieure Paris)
course material: notes, book
- Numerics of High-Dimensional PDEs
by Markus Bachmayr (RWTH Aachen University)
course material: survey paper
- High-Dimensional Approximation in Machine Learning
by Gitta Kutyniok (Ludwig Maximilian University of Munich)
course material: slides, survey paper
- High-Dimensional Integration
by Dirk Nuyens (KU Leuven)
course material: slides
- Compressive Sensing
by Holger Rauhut (Ludwig Maximilian University of Munich)
course material: book
Location
Application
- The application form can be found on the official CIME webpage
- There are no registration fees
- Several CIME grants are available for PhD students and junior postdocs to cover local accommodation costs
- Application deadline: May 15, 2024
Program
Sponsors
- CIME Foundation
- MUR Excellence Department Project MatMod@TOV, Mathematics, Rome Tor Vergata
- Rome Centre on Mathematics for Modelling and Data Sciences (RoMaDS)
- National Group for Scientific Computing (GNCS - INdAM)
This page is maintained by Hendrik Speleers
URL: https://www.mat.uniroma2.it/~speleers/cime2024/