Conditional gradient algorithms for norm-regularized smooth convex optimization

Motivated by some applications in signal processing and machine learning, we consider two convex optimization problems where, given a cone K , a norm ‖ · ‖ and a smooth convex function f , we want either (1) to minimize the norm over the intersection of the cone and a level set of f , or (2) to mini...

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