4 citations · 13 across the 18 of their papers we have counts for
4 papers · 1 filter
c-lasso -- a Python package for constrained sparse and robust regression and classification
Léo Simpson, Patrick L. Combettes, Christian L. Müller
We introduce c-lasso, a Python package that enables sparse and robust linear regression and classification with linear equality constraints. The underlying statistical forward mode…
Solving Composite Fixed Point Problems with Block Updates
Patrick L. Combettes, Lilian E. Glaudin
Various strategies are available to construct iteratively a common fixed point of nonexpansive operators by activating only a block of operators at each iteration. In the more chal…
A Fixed Point Framework for Recovering Signals from Nonlinear Transformations
Patrick L. Combettes, Zev. C. Woodstock
We consider the problem of recovering a signal from nonlinear transformations, under convex constraints modeling a priori information. Standard feasibility and optimization methods…
Multivariate Monotone Inclusions in Saddle Form
Minh N. Bùi, Patrick L. Combettes
We propose a novel approach to monotone operator splitting based on the notion of a saddle operator. Under investigation is a highly structured multivariate monotone inclusion prob…