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Generalized conditional gradient: analysis of convergence and applications

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arxiv 1510.06567 v1 pith:SHNHURD3 submitted 2015-10-22 cs.LG math.OCstat.ML

Alain Rakotomamonjy (LITIS) , Rémi Flamary (LAGRANGE , OCA) , Nicolas Courty (OBELIX) This is my paper · ORCID
classification cs.LGmath.OCstat.ML
keywords algorithmapplicationsconditionalconvergencegeneralizedgradientadditionalanalysis
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The objectives of this technical report is to provide additional results on the generalized conditional gradient methods introduced by Bredies et al. [BLM05]. Indeed , when the objective function is smooth, we provide a novel certificate of optimality and we show that the algorithm has a linear convergence rate. Applications of this algorithm are also discussed.

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