Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v3-stream-015-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v3-stream-015-alpha.b-cdn.net
      • sl-yoda-v3-stream-015-beta.b-cdn.net
      • 1963568160.rsc.cdn77.org
      • 1940033649.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
            Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Optimal Gradient-based Algorithms for Non-concave Bandit Optimization

            Dec 6, 2021

            Speakers

            QL

            Qi Lei

            Speaker · 0 followers

            BH

            Baihe Huang

            Speaker · 0 followers

            KH

            Kaixuan Huang

            Speaker · 0 followers

            About

            Much work has considered multi-armed bandit problems under linear (or kernelized) assumptions on the underlying reward function. This work considers bandit problems where the unknown underlying reward function is structured polynomials, including a two-layer neural network with polynomial activations and a low-rank generalized linear bandit problem.For the low-rank generalized linear bandit problem, we provide a minimax optimal algorithm in the dimension, refuting the conjectures in Jun et al (2…

            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

            Entropy-based adaptive Hamiltonian Monte Carlo
            05:40

            Entropy-based adaptive Hamiltonian Monte Carlo

            Marcel Hirt, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Near-Optimal No-Regret Learning in General Games
            19:06

            Near-Optimal No-Regret Learning in General Games

            Constantinos Daskalakis, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Reinforcement learning: It´s all in the mind
            28:34

            Reinforcement learning: It´s all in the mind

            Thomas L. Griffiths

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Minimizing Polarization and Disagreement in Social Networks via Link Recommendation
            04:47

            Minimizing Polarization and Disagreement in Social Networks via Link Recommendation

            Liwang Zhu, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
            14:54

            Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning

            Zhuqing Liu, …

            N2
            N2
            NeurIPS 2021 3 years ago

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

            Improved Drought Forecasting Using Surrogate Quantile And Shape (SQUASH) Loss
            09:40

            Improved Drought Forecasting Using Surrogate Quantile And Shape (SQUASH) Loss

            Devyani Lambhate, …

            N2
            N2
            NeurIPS 2021 3 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 2021