On Representer Theorems and Convex Regularization
Year: 2018
Type: preprint
Abstract: We establish a general principle which states that regularizing an inverse problem with a convex function yields solutions which are convex combinations of a small number of atoms. These atoms are identified with the extreme points and elements of the extreme rays of the regularizer level sets. An extension to a broader class of quasi-convex regularizers is also discussed. As a side result, we characterize the minimizers of the total gradient variation, which was still an unresolved problem.
Source: arXiv (Cornell University)
Institutions: École Normale Supérieure - PSL, Département de mathématiques et applications, Laboratoire de Probabilités, Statistique et Modélisation, Centre de Mathématiques Appliquées de l'École polytechnique, Laboratoire de Mathématiques d'Orsay, MOKAPLAN: Avancées en calcul numérique des variations, Centre de Recherche en Mathématiques de la Décision, Institut de Mathématiques de Toulouse
Language: English
Subfield: Mathematical Physics
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2950858293
