Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Kernel Functional Optimisation
      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
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Kernel Functional Optimisation
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Kernel Functional Optimisation

            Dec 6, 2021

            Speakers

            AKAV

            Arun Kumar A V

            Speaker · 0 followers

            AS

            Alistair Shilton

            Speaker · 0 followers

            SR

            Santu Rana

            Speaker · 0 followers

            About

            Traditional methods for kernel selection rely on parametric kernel functions or a combination thereof and although the kernel hyperparameters are tuned, these methods often provide sub-optimal results due to the limitation induced by the parametric forms. In this paper, we propose a novel formulation for kernel selection using efficient Bayesian optimisation to find the best fitting non-parametric kernel. The kernel is expressed using a linear combination of functions sampled from a prior Gaussi…

            Organizer

            N2
            N2

            NeurIPS 2021

            Account · 1.9k followers

            About NeurIPS 2021

            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

            MAPLE: Microprocessor A Priori for Latency Estimation
            14:30

            MAPLE: Microprocessor A Priori for Latency Estimation

            Saad Abbasi, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Neural Latents Benchmark ‘21: Evaluating models of neural population activity across the brain
            04:40

            Neural Latents Benchmark ‘21: Evaluating models of neural population activity across the brain

            Felix Pei, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Error Compensated Distributed SGD can be Accelerated
            08:18

            Error Compensated Distributed SGD can be Accelerated

            Xun Qian, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            OT and probability flows
            24:30

            OT and probability flows

            Chin-Wei Huang, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
            09:42

            Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

            Erik Englesson, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Robust Compressed Sensing MRI with Deep Generative Priors
            12:39

            Robust Compressed Sensing MRI with Deep Generative Priors

            Ajil Jalal, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Interested in talks like this? Follow NeurIPS 2021