Next
Track 1 Session 6
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: On Robustness of Principal Component Regression
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-001-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-001-alpha.b-cdn.net
      • sl-yoda-v2-stream-001-beta.b-cdn.net
      • 1824830694.rsc.cdn77.org
      • 1979322955.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • English (auto-generated)
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            On Robustness of Principal Component Regression
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            On Robustness of Principal Component Regression

            Dec 12, 2019

            Speakers

            AA

            Anish Agarwal

            Speaker · 0 followers

            About

            Consider the setting of Linear Regression where the observed response variables, in expectation, are linear functions of the p-dimensional covariates. Then to achieve vanishing prediction error, the number of required samples scales faster than pσ2, where σ2 is a bound on the noise variance. In a high-dimensional setting where p is large but the covariates admit a low-dimensional representation (say r ≪ p), then Principal Component Regression (PCR), cf. [36], is an effective approach; here, the…

            Organizer

            N2
            N2

            NIPS 2019

            Account · 98 followers

            Categories

            AI & Data Science

            Category · 10.8k presentations

            Mathematics

            Category · 2.4k presentations

            About NIPS 2019

            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

            Spotlight: Object Abstraction in Visual Model-Based Reinforcement Learning
            07:42

            Spotlight: Object Abstraction in Visual Model-Based Reinforcement Learning

            Michael Chang

            N2
            N2
            NIPS 2019 5 years ago

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

            Contributed talk 2 – Online Agnostic Boosting
            08:50

            Contributed talk 2 – Online Agnostic Boosting

            Xinyi Chen

            N2
            N2
            NIPS 2019 5 years ago

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

            Helping Reduce Environmental Impact of Aviation with Machine Learning
            09:41

            Helping Reduce Environmental Impact of Aviation with Machine Learning

            Ashish Kapoor

            N2
            N2
            NIPS 2019 5 years ago

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

            Causality for Climate (C4C)
            54:52

            Causality for Climate (C4C)

            Christoph Käding, …

            N2
            N2
            NIPS 2019 5 years ago

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

            Mitigating Impact of Federated Learning on Client Resources
            06:18

            Mitigating Impact of Federated Learning on Client Resources

            Sebastian Caldas

            N2
            N2
            NIPS 2019 5 years ago

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

            DiDi Challenge
            19:32

            DiDi Challenge

            Hongtu Zhu, …

            N2
            N2
            NIPS 2019 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 NIPS 2019