Date/heure
Date(s) - 10 avril 2015

Catégories Pas de Catégories

$Title\; :\; Stochastic\; forward-backward\; algorithms\; for\; solving\; monotone\; inclusions\backslash n\backslash nAbstract\; :\; In\; this\; talk\; I\; will\; present\; and\; analyze\; the\; convergence\; of\; new\; stochastic\; forward-backward\; splitting\; algorithms\; for\; solving\; monotone\; inclusions\; given\; by\; the\; sum\; of\; a\; maximal\; monotone\; operator\; and\; a\; single-valued\; maximal\; monotone\; cocoercive\; operator.\backslash nThis\; latter\; framework\; has\; a\; number\; of\; interesting\; special\; cases,\; including\; variational\; inequalities\; and\; convex\; minimization\; problems,\; while\; stochastic\; approaches\; are\; practically\; relevant\; to\; account\; for\; perturbations\; in\; the\; data.\; I\; will\; present\; a\; nonasymptotic\; error\; analysis\; for\; the\; strongly\; monotone\; case,\backslash nas\; well\; as\; almost\; sure\; convergence\; under\; weaker\; assumptions.[$