The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof
hal.structure.identifier | CEntre de REcherches en MAthématiques de la DEcision [CEREMADE] | |
dc.contributor.author | Turinici, Gabriel
HAL ID: 16 ORCID: 0000-0003-2713-006X | |
dc.date.accessioned | 2021-11-03T09:54:15Z | |
dc.date.available | 2021-11-03T09:54:15Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://basepub.dauphine.psl.eu/handle/123456789/22154 | |
dc.language.iso | en | en |
dc.subject | Stochastic Gradient Descent | en |
dc.subject | Neural Network | en |
dc.subject | SGD | en |
dc.subject | Adam | en |
dc.subject | RMSprop | en |
dc.subject.ddc | 515 | en |
dc.title | The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof | en |
dc.type | Document de travail / Working paper | |
dc.description.abstracten | We give here a proof of the convergence of the Stochastic Gradient Descent (SGD) in a self-contained manner. | en |
dc.publisher.city | Paris | en |
dc.identifier.citationpages | 5 | en |
dc.relation.ispartofseriestitle | Cahier de recherche du CEREMADE | en |
dc.identifier.urlsite | https://hal.archives-ouvertes.fr/hal-03184035 | en |
dc.subject.ddclabel | Analyse | en |
dc.identifier.citationdate | 2021 | |
dc.description.ssrncandidate | non | |
dc.description.halcandidate | non | en |
dc.description.readership | recherche | en |
dc.description.audience | International | en |
dc.date.updated | 2021-11-03T09:51:28Z | |
hal.author.function | aut |