Proximal Gradient Methods with Adaptive Subspace Sampling

Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick

Abstract: Many applications in machine learning or signal processing involve nonsmooth optimization problems. This nonsmoothness brings a low-dimensional structure to the optimal solutions. In this paper, we...