The lasso is the most famous sparse regression and feature selection met...
We propose a new fast algorithm to estimate any sparse generalized linea...
Finding the optimal hyperparameters of a model can be cast as a bilevel
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For composite nonsmooth optimization problems, Forward-Backward algorith...
Setting regularization parameters for Lasso-type estimators is notorious...
This paper studies the addition of linear constraints to the Support Vec...