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04/14/2014
Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization
We study a hybrid conditional gradient - smoothing algorithm (HCGS) for ...
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03/25/2013
On Sparsity Inducing Regularization Methods for Machine Learning
During the past years there has been an explosion of interest in learnin...
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04/23/2012
Sparse Prediction with the k-Support Norm
We derive a novel norm that corresponds to the tightest convex relaxatio...
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03/24/2012
A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs
We consider the two problems of predicting links in a dynamic graph sequ...
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06/26/2011
A General Framework for Structured Sparsity via Proximal Optimization
We study a generalized framework for structured sparsity. It extends the...
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04/07/2011