On Representer Theorems and Convex Regularization

June 26, 2018 Β· Declared Dead Β· πŸ› SIAM Journal on Optimization

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Authors Claire Boyer, Antonin Chambolle, Yohann De Castro, Vincent Duval, FrΓ©dΓ©ric De Gournay, Pierre Weiss arXiv ID 1806.09810 Category math.OC: Optimization & Control Cross-listed cs.IT Citations 118 Venue SIAM Journal on Optimization Last Checked 4 months ago
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.
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