Guillaume Garrigos

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 signal/image processing, inverse problems, and machine learning. I also have some taste for multi-objective optimization problems.

I have postdoctoral position at the Laboratory for Computational and Statistical Learning, fruit of the collaboration between the Istituto Italiano di Tecnologia and the Massachusetts Institute of Technology. I'm here in charge of the Machine Learning Tutorials.