SWAGGER: Sparsity Within and Across Groups for General Estimation and Recovery release_myqyknir3rgghfckp3wvpu2fla

by Charles Saunders, Vivek K Goyal

Released as a article .

2020  

Abstract

Penalty functions or regularization terms which promote structured solutions to optimization problems are of great interest in many fields. Proposed in this work is a nonconvex structured sparsity penalty that promotes one-sparsity within arbitrary overlapping groups in a vector. We show multiple example use cases, demonstrate synergy between it and other regularizers, and propose an algorithm to efficiently solve problems regularized or constrained by the proposed penalty.
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Date   2020-06-03
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arXiv  2006.01714v2
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