Project in Prairie
It is known that simple non-convex algorithms can sometimes efficiently solve a priori difficult problems, like phase retrieval. This phenomenon has been rigorously explained under strong statistical assumptions only. I would like to understand better under which circumstances it happens. Another direction of research I would like to pursue is to study the links between the low layers of learned convolutional networks and the scattering transform.