Guillaume Garrigos

I am Maître de Conférences at the Université Paris Cité (formerly Université de Paris, or Paris-Diderot, or Paris-7), member of the Laboratoire de Probabilités, Statistique et Modélisation, in the Team Statistique, données, algorithmes.

My research essentially focuses on dynamical systems associated to optimization problems. In particular, I am interested in algorithms and regularization methods for nonsmooth (eventually nonconvex) problems arising in machine learning and signal or image processing. I am particularly interested in the interplay between the modeling of a learning/inverse problem as an optimization problem, and its resolution.

You can navigate to find more details about my research and teaching activities, as well as some related material. Here is my automatically generated curriculum (and its overly-detailed extension).