36 citations · 42 across the 8 of their papers we have counts for
3 papers · 1 filter
On Sparsity Inducing Regularization Methods for Machine Learning
Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli +1
During the past years there has been an explosion of interest in learning methods based on sparsity regularization. In this paper, we discuss a general class of such methods, in wh…
Efficient First Order Methods for Linear Composite Regularizers
Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil +2
A wide class of regularization problems in machine learning and statistics employ a regularization term which is obtained by composing a simple convex function ωwith a linear trans…
When is there a representer theorem? Vector versus matrix regularizers
Andreas Argyriou, Charles Micchelli, Massimiliano Pontil
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecre…