The coronavirus disease 2019 (COVID-19) has led to a global pandemic of
...
Sampling is ubiquitous in machine learning methodologies. Due to the gro...
Sparsity regularized loss minimization problems play an important role i...
Distributed optimization has been widely used as one of the most efficie...
Ordered Weighted L_1 (OWL) regularized regression is a new regression
an...