Generalized conditional gradient: analysis of convergence and applications
Résumé
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.
Domaines
Apprentissage [cs.LG]| Origine | Fichiers produits par l'(les) auteur(s) |
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