Internship on the analysis of tensor-based methods for machine learning

We are looking for strongly motivated M2 students with a solid background on probability, statistics and optimization for a (5- or) 6-month internship in 2023, focused on the analysis of tensor decomposition methods for machine learning in the large-data regime. The student will be co-supervised by myself and Xiaoyi Mai, Assistant Professor at the University of Toulouse and member of the Institut de Mathématiques de Toulouse (IMT).

A detailed description can be found here.