Optimal Transport for Machine Learning
Marco Cuturi · Gabriel Peyré · Rémi Flamary · Alexandra Suvorikova

Fri Dec 13th 08:00 AM -- 06:00 PM @ East Ballroom C
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Optimal transport(OT) provides a powerful and flexible way to compare, interpolate and morph probability measures. Originally proposed in the eighteenth century, this theory later led to Nobel Prizes for Koopmans and Kantorovich as well as C. Villani and A. Figalli Fields’ Medals in 2010 and 2018. OT is now used in challenging learning problems that involve high-dimensional data such as the inference of individual trajectories by looking at population snapshots in biology, the estimation of generative models for images, or more generally transport maps to transform samples in one space into another as in domain adaptation. With more than a hundred papers mentioning Wasserstein or transport in their title submitted at NeurIPS this year, and several dozens appearing every month acrossML/stats/imaging and data sciences, this workshop’s aim will be to federate and advancecurrent knowledge in this rapidly growing field.

08:00 AM Facundo Memoli (Talk) Facundo Mémoli
08:40 AM Karren Dai (Short talk)
09:00 AM Jon Weed (Talk) Jon Niles-Weed
10:30 AM Stefanie Jegelka (Talk) Stefanie Jegelka
11:10 AM SPOTLIGHTS 5 x 10 (Spotlights)
12:00 PM Poster Session <span> <a href="#"></a> </span>
02:00 PM Geoffrey Schiebinger (Talk) Geoffrey Schiebinger
02:40 PM Charlie Frogner (Short talk) Charlie Frogner
03:00 PM Aude Genevay (Short talk) Aude Genevay
04:20 PM Daniel Kuhn (Talk) Daniel Kuhn
05:00 PM Alexei Kroshnin (Short talk) Aleksei Kroshnin
05:20 PM Poster Session (Posters)
Lili Yu, Aleksei Kroshnin, Alex Delalande, Andrew Carr, Anthony Tompkins, Aram-Alexandre Pooladian, Arnaud Robert, Ashok Makkuva, Aude Genevay, Bangjie Liu, Bo Zeng, Charlie Frogner, Elsa Cazelles, Esteban G Tabak, Fabio Ramos, François-Pierre PATY, Georgios Balikas, Giulio Trigila, Hao Wang, Hinrich Mahler, Jared Nielsen, karim Lounici, Kyle Swanson, Mukul Bhutani, Pierre Bréchet, Piotr Indyk, samuel cohen, Stefanie Jegelka, Tao Wu, Thibault Sejourne, Tudor Manole, Wenjun Zhao, Wenlin Wang, Wenqi Wang, Yonatan Dukler, Zihao Wang, Chaosheng Dong

Author Information

Marco Cuturi (Google and CREST/ENSAE)
Gabriel Peyré (CNRS and ENS)
Rémi Flamary (Université Côte d'Azur)
Alexandra Suvorikova (U. Potsdam)

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