– J. Audiffren (CMLA) : Equivalence between regularized learning algorithms

– J. Audiffren (CMLA) : Equivalence between regularized learning algorithms

Date/heure
Date(s) - 03/10/2014
14 h 00 min - 15 h 00 min

Catégories Pas de Catégories

$Equivalence\; between\; regularized\; learning\; algorithms\; by\; J.\; Audiffren\; (CMLA)\backslash n\backslash nThis\; talk\; is\; about\; the\; concept\; of\; equivalence\; equivalence\; between\; machine\; learning\; algorithms,\; and\; more\; particularly\; equivalence\; between\; algorithms\; defined\; with\; a\; minimization\; problem.\; We\; will\; discuss\; the\; notion\; of\; equivalence,\; its\; definition\; and\; its\; consequences.\; We\; will\; introduce\; two\; notions\; of\; algorithmic\; equivalence,\; namely,\; weak\; and\; strong\; equivalence,\; and\; we\; will\; study\; their\; strengths\; and\; their\; limit.[$