In this talk we will review common first order optimization methods from a regularization perspective. In particular, we will discuss the interplay and effect of acceleration for convergence and stability.

This presentation is part of Minisymposium “MS79 - From optimization to regularization in inverse problems and machine learning”
organized by: Silvia Villa (Politecnico di Milano) , Lorenzo Rosasco (University of Genoa, Istituto Italiano di Tecnologia; Massachusetts Institute of Technology) .

Authors:

Lorenzo Rosasco (University of Genoa, Istituto Italiano di Tecnologia; Massachusetts Institute of Technology)

Keywords:

convex optimization, inverse problems, machine learning