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Andreas Argyriou

Computer Science – Learning

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A General Framework for Structured Sparsity via Proximal Optimization

Computer Science – Learning
Scientific paper

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A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs

Computer Science – Learning
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Efficient First Order Methods for Linear Composite Regularizers

Computer Science – Learning
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Sparse Prediction with the k-Overlap Norm

Statistics – Machine Learning
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When is there a representer theorem? Vector versus matrix regularizers

Computer Science – Learning
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