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Bridging the gap between optimal transport and MMD Sinkhorn divergences

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Authors : Genevay, Aude (Author of the conference)
CIRM (Publisher )

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Abstract : Keywords : optimal transport; machine learning

MSC Codes :
65C20 - Models (numerical methods)
65C60 - Computational problems in statistics
68T01 - General

Additional resources :
https://www.cirm-math.fr/RepOrga/2133/Slides/cirm-genevay.pdf

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 06/04/2020
    Conference Date : 12/03/2020
    Subseries : Research talks
    arXiv category : Machine Learning
    Mathematical Area(s) : Mathematics in Science & Technology
    Format : MP4 (.mp4) - HD
    Video Time : 00:35:40
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2020-03-12_Bach.mp4

Information on the Event

Event Title : Optimization for Machine Learning / Optimisation pour l'apprentissage automatique
Event Organizers : Boyer, Claire ; d'Aspremont, Alexandre ; Gramfort, Alexandre ; Salmon, Joseph ; Villar, Soledad
Dates : 09/03/2020 - 13/03/2020
Event Year : 2020
Event URL : https://conferences.cirm-math.fr/2133.html

Citation Data

DOI : 10.24350/CIRM.V.19623103
Cite this video as: Genevay, Aude (2020). Bridging the gap between optimal transport and MMD Sinkhorn divergences. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19623103
URI : http://dx.doi.org/10.24350/CIRM.V.19623103

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