Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-010-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-010-alpha.b-cdn.net
      • sl-yoda-v2-stream-010-beta.b-cdn.net
      • 1759419103.rsc.cdn77.org
      • 1016618226.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
            Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations

            Aug 26, 2020

            Speakers

            ND

            Nic Dalmasso

            Speaker · 0 followers

            AL

            Ann Lee

            Speaker · 0 followers

            RI

            Rafael Izbicki

            Speaker · 0 followers

            Organizer

            A2
            A2

            AISTATS 2020

            Account · 106 followers

            Categories

            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

            Learning Gaussian Graphical Models via Multiplicative Weights
            14:25

            Learning Gaussian Graphical Models via Multiplicative Weights

            Anamay Chaturvedi, …

            A2
            A2
            AISTATS 2020 5 years ago

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

            Deterministic Decoding for Discrete Data in Variational Autoencoders
            09:00

            Deterministic Decoding for Discrete Data in Variational Autoencoders

            Dmitry P. Vetrov, …

            A2
            A2
            AISTATS 2020 5 years ago

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

            Fundamental limits of Empirical Risk Minimazation in High-dimensions
            20:18

            Fundamental limits of Empirical Risk Minimazation in High-dimensions

            Hossein Taheri, …

            A2
            A2
            AISTATS 2020 5 years ago

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

            Hypothesis Testing Interpretations and Renyi Differential Privacy
            20:01

            Hypothesis Testing Interpretations and Renyi Differential Privacy

            Borja Balle, …

            A2
            A2
            AISTATS 2020 5 years ago

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

            Expressiveness and Learning of Hidden Quantum Markov Models
            16:10

            Expressiveness and Learning of Hidden Quantum Markov Models

            Sandesh Adhikary, …

            A2
            A2
            AISTATS 2020 5 years ago

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

            A Multiclass Classification Approach to Label Ranking
            15:39

            A Multiclass Classification Approach to Label Ranking

            Stéphan Clémencon, …

            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