Generalized Conditional Gradient for Sparse Estimation

JOURNAL OF MACHINE LEARNING RESEARCH, 2017.

Cited by: 33|Views24
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Abstract:

Sparsity is an important modeling tool that expands the applicability of convex formulations for data analysis, however it also creates significant challenges for efficient algorithm design. In this paper we investigate the generalized conditional gradient (GCG) algorithm for solving sparse optimization problems-demonstrating that, with s...More

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