Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: The Norms of Algorithmic Credit Scoring: A Legal and Regulatory Perspective on Navigating Normative Trade-Offs in ML for Consumer Finance
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-011-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-011-alpha.b-cdn.net
      • sl-yoda-v3-stream-011-beta.b-cdn.net
      • 1150868944.rsc.cdn77.org
      • 1511650057.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
            The Norms of Algorithmic Credit Scoring: A Legal and Regulatory Perspective on Navigating Normative Trade-Offs in ML for Consumer Finance
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            The Norms of Algorithmic Credit Scoring: A Legal and Regulatory Perspective on Navigating Normative Trade-Offs in ML for Consumer Finance

            Dec 6, 2020

            Speakers

            NA

            Nikita Aggarwal

            Speaker · 0 followers

            Organizer

            N2
            N2

            NeurIPS 2020

            Account · 11.7k followers

            Categories

            Economics & Finance

            Category · 755 presentations

            AI & Data Science

            Category · 10.8k presentations

            Law & Politics

            Category · 333 presentations

            About NeurIPS 2020

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

            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

            Strategies for anticipating and mitigating risks
            59:45

            Strategies for anticipating and mitigating risks

            Ashley Casovan, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Active Structure Learning of Causal DAGs via Directed Clique Trees
            03:23

            Active Structure Learning of Causal DAGs via Directed Clique Trees

            Chandler Squires, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Limitations of gradient-based Born Machine over tensor networks on learning quantum nonlocality
            09:43

            Limitations of gradient-based Born Machine over tensor networks on learning quantum nonlocality

            Khadijeh Sona Najafi, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
            05:48

            Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning

            Nick Angelou, …

            N2
            N2
            NeurIPS 2020 4 years ago

            Total of 1 viewers voted for saving the presentation to eternal vault which is 0.1%

            Auxiliary Task Reweighting for Minimum-data Learning
            03:28

            Auxiliary Task Reweighting for Minimum-data Learning

            Baifeng Shi, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            When Does Preconditioning Help or Hurt Generalization?
            13:24

            When Does Preconditioning Help or Hurt Generalization?

            Shun-ichi Amari, …

            N2
            N2
            NeurIPS 2020 4 years ago

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

            Interested in talks like this? Follow NeurIPS 2020