Saunders, CharlesGoyal, Vivek K.2021-05-062021-05-062020Charles Saunders, Vivek K Goyal. "SWAGGER: Sparsity Within and Across Groups for General Estimation and Recovery." https://arxiv.org/abs/2006.01714https://hdl.handle.net/2144/42501Penalty functions or regularization terms that 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. This allows one to enforce mutual exclusivity between components within solutions to optimization problems. We show multiple example use cases (including a total variation variant), demonstrate synergy between it and other regularizers, and propose an algorithm to efficiently solve problems regularized or constrained by the proposed penalty.en-USSWAGGER: sparsity within and across groups for general estimation and recoveryArticle0000-0001-8471-7049 (Goyal, Vivek K)598005