Search Results for author: Andreas Argyriou

Found 3 papers, 0 papers with code

Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization

no code implementations14 Apr 2014 Andreas Argyriou, Marco Signoretto, Johan Suykens

We study a hybrid conditional gradient - smoothing algorithm (HCGS) for solving composite convex optimization problems which contain several terms over a bounded set.

On Sparsity Inducing Regularization Methods for Machine Learning

no code implementations25 Mar 2013 Andreas Argyriou, Luca Baldassarre, Charles A. Micchelli, Massimiliano Pontil

During the past years there has been an explosion of interest in learning methods based on sparsity regularization.

Multi-Task Learning

Sparse Prediction with the k-Support Norm

no code implementations NeurIPS 2012 Andreas Argyriou, Rina Foygel, Nathan Srebro

We derive a novel norm that corresponds to the tightest convex relaxation of sparsity combined with an $\ell_2$ penalty.

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