We study the problem of estimating a k-sparse signal
_0∈ R^p from a set ...
Large-margin classifiers are popular methods for classification. We deri...
We propose a semismooth Newton algorithm for pathwise optimization (SNAP...
Both the smoothly clipped absolute deviation (SCAD) and the minimax conc...