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Statistical Optimal Transport École d'Été de Probabilités de Saint-Flour XLIX – 2019 /

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning. It is primarily tailored for students and researchers in these fields, yet it remains accessible to a broader audience of applied mathematicians and...

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Dettagli Bibliografici
Autori principali:	Chewi, Sinho (Autore), Niles-Weed, Jonathan (Autore), Rigollet, Philippe (Autore)
Ente Autore:	SpringerLink (Online service)
Natura:	Elettronico eBook
Lingua:	inglese
Pubblicazione:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizione:	1st ed. 2025.
Serie:	École d'Été de Probabilités de Saint-Flour ; 2364
Soggetti:	Statistics . Machine learning. Mathematical optimization. Calculus of variations. Statistical Physics. Probabilities. Statistical Theory and Methods. Machine Learning. Calculus of Variations and Optimization. Probability Theory.
Accesso online:	https://doi.org/10.1007/978-3-031-85160-5
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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