NEW: Slides of lectures
One-week winter school on low-rank models, in the Swiss Alps from 12 to 17 January 2020.
The topic of the school is low-rank models and their use in numerical optimization and approximation. Specific focus will be given to modern applications in data science. Students will attend lectures and hands-on tutorials by leading experts.
Speakers (in alphabetical order) and topic of lectures:
- Nicolas Boumal (Princeton University)
An introduction to optimization on smooth manifolds - Lieven De Lathauwer (KU Leuven)
An introduction to tensor decompositions and applications - Ivan Oseledets (Skoltech)
Low-rank tensor approximations and deep learning - Reinhold Schneider (TU Berlin)
Low rank approximation for high dimensional PDEs: Hamilton Jacobi Bellmann and variational Monte Carlo - Madeleine Udell (Cornell University)
Big data is low rank: models, theory, and algorithms
Venue and dates:
Low-rank Models 2020 takes place in Villars-sur-Ollon (VD), Switzerland, from the 12th to the 17th of January 2020, at the Eurotel Victoria.
