Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Linearly Convergent Frank-Wolfe with Backtracking Line-Search
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-013-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-013-alpha.b-cdn.net
      • sl-yoda-v3-stream-013-beta.b-cdn.net
      • 1668715672.rsc.cdn77.org
      • 1420896597.rsc.cdn77.org
      • Subtitles
      • Off
      • en
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Linearly Convergent Frank-Wolfe with Backtracking Line-Search
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Linearly Convergent Frank-Wolfe with Backtracking Line-Search

            Aug 26, 2020

            Sprecher:innen

            FP

            Fabian Pedregosa

            Sprecher:in · 1 Follower:in

            GN

            Geoffrey Négiar

            Sprecher:in · 0 Follower:innen

            AA

            Armin Askari

            Sprecher:in · 0 Follower:innen

            Organisator

            A2
            A2

            AISTATS 2020

            Konto · 106 Follower:innen

            Kategorien

            KI und Datenwissenschaft

            Kategorie · 10,8k Präsentationen

            Über 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.

            Gefällt euch das Format? Vertraut auf SlidesLive, um euer nächstes Event festzuhalten!

            Professionelle Aufzeichnung und Livestreaming – weltweit.

            Freigeben

            Empfohlene Videos

            Präsentationen, deren Thema, Kategorie oder Sprecher:in ähnlich sind

            Quantitative Stability of Optimal Transport Maps and Linearization of the 2-Wasserstein Space
            15:05

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

            Alex Delalande, …

            A2
            A2
            AISTATS 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            How fine can fine-tuning be?  Learning efficient language models
            13:05

            How fine can fine-tuning be? Learning efficient language models

            Evani Radiya-Dixit, …

            A2
            A2
            AISTATS 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Universal Average-Case Optimality of Polyak Momentum
            15:09

            Universal Average-Case Optimality of Polyak Momentum

            Waïss Azizian, …

            A2
            A2
            AISTATS 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Decentralized Multi-player Multi-armed Bandits with No Collision Information
            14:17

            Decentralized Multi-player Multi-armed Bandits with No Collision Information

            Cong Shen, …

            A2
            A2
            AISTATS 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Bayesian Reinforcement Learning via Deep, Sparse Sampling
            15:44

            Bayesian Reinforcement Learning via Deep, Sparse Sampling

            Divya Grover, …

            A2
            A2
            AISTATS 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration
            12:46

            Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration

            Matteo Papini, …

            A2
            A2
            AISTATS 2020 5 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Interessiert an Vorträgen wie diesem? AISTATS 2020 folgen