Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression

Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

Abstract: In high dimension, it is customary to consider Lasso-type estimators to enforce sparsity. For standard Lasso theory to hold, the regularization parameter should be proportional to the noise level, ...