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20082014
most citedEfficient First Order Methods for Linear Composite Regularizers

36 citations · 66 across the 8 of their papers we have counts for

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math.OC2014

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

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. Examples of t…

math.OC2012★ 30 cited

PRISMA: PRoximal Iterative SMoothing Algorithm

Francesco Orabona, Andreas Argyriou, Nathan Srebro

Motivated by learning problems including max-norm regularized matrix completion and clustering, robust PCA and sparse inverse covariance selection, we propose a novel optimization…