Villa, Silvia; Rosasco, Lorenzo; Mosci, Sofia; Verri, … - In: Computational Optimization and Applications 58 (2014) 2, pp. 381-407
We consider a regularized least squares problem, with regularization by structured sparsity-inducing norms, which extend the usual ℓ <Subscript>1</Subscript> and the group lasso penalty, by allowing the subsets to overlap. Such regularizations lead to nonsmooth problems that are difficult to optimize, and we propose...</subscript>
