Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Quantitative Stability of Optimal Transport Maps and Linearization of the 2-Wasserstein Space
Quantitative Stability of Optimal Transport Maps and Linearization of the 2-Wasserstein Space
  • Settings
  • Sync diff
  • Quality
  • Settings
  • Server
  • Quality
  • Server
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-015-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-015-alpha.b-cdn.net
      • sl-yoda-v3-stream-015-beta.b-cdn.net
      • 1963568160.rsc.cdn77.org
      • 1940033649.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00

            Quantitative Stability of Optimal Transport Maps and Linearization of the 2-Wasserstein Space

            Aug 26, 2020

            Speakers

            AD

            Alex Delalande

            Speaker · 0 followers

            QM

            Quentin Mérigot

            Speaker · 0 followers

            FC

            Frédéric Chazal

            Speaker · 0 followers

            Organizer

            A2
            A2

            AISTATS 2020

            Account · 106 followers

            Categories

            Mathematics

            Category · 2.4k presentations

            AI & Data Science

            Category · 10.8k presentations

            About AISTATS 2020

            http://aistats.org/aistats2020 AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. We encourage the submission of all papers which are in keeping with this objective at AISTATS.

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            A Characterization of Mean Squared Error for Estimator with Bagging
            14:02

            A Characterization of Mean Squared Error for Estimator with Bagging

            Martin Mihelich, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits
            08:20

            OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits

            Niladri S Chatterji, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Rk-means: Fast Clustering for Relational Data
            14:43

            Rk-means: Fast Clustering for Relational Data

            Ryan R. Curtin, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Implicit regularization and solution uniqueness in over-parameterized matrix sensing
            07:36

            Implicit regularization and solution uniqueness in over-parameterized matrix sensing

            Amir Kalev, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses
            14:15

            Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses

            Fabien Lauer

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            A Theoretical Case Study of Structured Variational Inference for Community Detection
            10:53

            A Theoretical Case Study of Structured Variational Inference for Community Detection

            Mingzhang Yin, …

            A2
            A2
            AISTATS 2020 5 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow AISTATS 2020