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The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features.
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The group lasso for logistic regression
L. Meier, S. Geer, and P. Bühlmann · 2008
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
H. Liu, M. Palatucci, and J. Zhang · 2009
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Multi-task feature learning via efficient
J. Liu, S. Ji, and J. Ye · 2009
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A fast iterative shrinkage-thresholding algorithm for linear inverse problems
A. Beck and M. Teboulle · 2009
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Group lasso with overlap and graph lasso
L. Jacob, G. Obozinski, and J. Vert · 2009
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Structured variable selection with sparsity-inducing norms
R. Jenatton, J.-Y. Audibert, and F. Bach · 2009
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R. Jenatton, J. Mairal, G. Obozinski, and F. Bach · 2010
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Tree-guided group lasso for multi-task regression with structured sparsity
S. Kim and E. P. Xing · 2010
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Moreau-yosida regularization for grouped tree structure learning
J. Liu and J. Ye · 2010
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An efficient algorithm for a class of fused lasso problems
J. Liu, L. Yuan, and J. Ye · 2010
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