Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Semi-Modular Inference: Enhanced Learning in Multi-Modular Models by Tempering the Influence of Components
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-014-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-014-alpha.b-cdn.net
      • sl-yoda-v3-stream-014-beta.b-cdn.net
      • 1978117156.rsc.cdn77.org
      • 1243944885.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
            Semi-Modular Inference: Enhanced Learning in Multi-Modular Models by Tempering the Influence of Components
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Semi-Modular Inference: Enhanced Learning in Multi-Modular Models by Tempering the Influence of Components

            Aug 26, 2020

            Speakers

            CUC

            Christian U. Carmona

            Speaker · 0 followers

            GKN

            Geoff K. Nicholls

            Speaker · 0 followers

            Organizer

            A2
            A2

            AISTATS 2020

            Account · 106 followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            Mathematics

            Category · 2.4k 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

            "Bring Your Own Greedy''+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack
            13:14

            "Bring Your Own Greedy''+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack

            Samson Zhou, …

            A2
            A2
            AISTATS 2020 5 years ago

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

            A Framework for Sample Efficient Interval Estimation with Control Variates
            12:01

            A Framework for Sample Efficient Interval Estimation with Control Variates

            Shengjia Zhao, …

            A2
            A2
            AISTATS 2020 5 years ago

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

            Learning Ising and Potts Models with Latent Variables
            14:51

            Learning Ising and Potts Models with Latent Variables

            Surbhi Goel

            A2
            A2
            AISTATS 2020 5 years ago

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

            A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
            15:48

            A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning

            Nhan H Pham, …

            A2
            A2
            AISTATS 2020 5 years ago

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

            Minimizing Dynamic Regret and Adaptive Regret Simultaneously
            10:03

            Minimizing Dynamic Regret and Adaptive Regret Simultaneously

            Lijun Zhang, …

            A2
            A2
            AISTATS 2020 5 years ago

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

            The Expressive Power of a Class of Normalizing Flow Models
            14:01

            The Expressive Power of a Class of Normalizing Flow Models

            Zhifeng Kong, …

            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