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Fast projections onto mixed-norm balls with applications
[article]
2012
arXiv
pre-print
Joint sparsity offers powerful structural cues for feature selection, especially for variables that are expected to demonstrate a "grouped" behavior. Such behavior is commonly modeled via group-lasso, multitask lasso, and related methods where feature selection is effected via mixed-norms. Several mixed-norm based sparse models have received substantial attention, and for some cases efficient algorithms are also available. Surprisingly, several constrained sparse models seem to be lacking
arXiv:1204.1437v1
fatcat:myndmgnwkjhedopoa4v26ynd7a