Scalable Optimal Transport Methods in Machine Learning : A Contemporary Survey

Optimal Transport (OT) is a mathematical framework that first emerged in the eighteenth century and has led to a plethora of methods for answering many theoretical and applied questions. The last decade has been a witness to the remarkable contributions of this classical optimization problem to mach...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2024) vom: 20. März
Auteur principal:	Khamis, Abdelwahed (Auteur)
Autres auteurs:	Tsuchida, Russell, Tarek, Mohamed, Rolland, Vivien, Petersson, Lars
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article