Detailed information about the course
Low-Rank Models: Optimization, Approximation, and Applications in Data Science
12-17 janvier 2020
Prof. Daniel Kressner, EPFL
Prof. Madeleine Udell, Cornell University, US Prof. Nicolas Boumal, Princeton University, US Prof. Lieven de Lathauwer, KU Leuven, BE Prof. Ivan Oseledets, Skoltech, RU Prof. Reinhold Schneider, TU Berlin, DE
This winter school is intended for doctoral and early career postdoctoral students who are interested in recent developments in mathematical models based on low-rank matrix and tensor approximations. The school will be taught by 5 world-wide experts in the field, specialised in high-dimensional numerical tensor calculus, numerical optimisation methods on Riemannian manifolds, and applications of low-rank models in data science and machine learning. In addition, a poster session will be organised as an informal networking event where junior participants can present their own research.
|Deadline for registration||12.01.2020|