Smoothing composite proximal gradient algorithm for sparse group Lasso problems with nonsmooth loss functions

In recent years, the sparse and group sparse optimization problem has attracted extensive attention due to its wide applications in statistics, bioinformatics, signal interpretation and machine learning, which yields the sparsity both in group-wise and element-wise. In this paper, the sparse and gro...

Ausführliche Beschreibung