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"citationFull_s":"Yaroslav Averyanov. Designing and analyzing new early stopping rules for saving computational resources. Statistics [math.ST]. Université de Lille; Inria, 2020. English. <a target=\"_blank\" href=\"https://www.theses.fr/\">⟨NNT : ⟩</a>. <a target=\"_blank\" href=\"https://theses.hal.science/tel-03133391v1\">⟨tel-03133391⟩</a>",
"title_s":["Designing and analyzing new early stopping rules for saving computational resources","Concevoir et analyser de nouvelles règles d'arrêt prématuré pour économiser les ressources de calcul"],
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"citationFull_s":"Margot Selosse, Isobel Claire Gormley, Julien Jacques, Christophe Biernacki. A bumpy journey: exploring deep Gaussian mixture models. <i>I Can't Believe It's Not Better @ NeurIPS 2020</i>, Dec 2020, Vancouver, Canada. <a target=\"_blank\" href=\"https://hal.science/hal-02985701v1\">⟨hal-02985701⟩</a>",
"title_s":["A bumpy journey: exploring deep Gaussian mixture models"],
"authFullName_s":["Margot Selosse","Isobel Claire Gormley","Julien Jacques","Christophe Biernacki"],
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Laboratoire Paul Painlevé - CNRS UMR 8524