{
  "id": "1510.06567",
  "version": "v1",
  "published": "2015-10-22T10:19:52.000Z",
  "updated": "2015-10-22T10:19:52.000Z",
  "title": "Generalized conditional gradient: analysis of convergence and applications",
  "authors": [
    "Alain Rakotomamonjy",
    "Rémi Flamary",
    "Nicolas Courty"
  ],
  "categories": [
    "cs.LG"
  ],
  "abstract": "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.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2015-10-22T10:19:52.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "applications",
      "generalized conditional gradient methods",
      "linear convergence rate",
      "novel certificate",
      "additional results"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2015arXiv151006567R"
    }
  }
}