kernelherding.jl

A package demonstrating Kernel Herding with Frank-Wolfe algorithms

https://github.com/zib-iol/kernelherding.jl

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.1%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

A package demonstrating Kernel Herding with Frank-Wolfe algorithms

Basic Info
  • Host: GitHub
  • Owner: ZIB-IOL
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Size: 2.83 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme License Citation

README.md

KernelHerding

Build Status Dev

A package that highlights the applicability of the FrankWolfe.jl package for infinite-dimensional kernel herding. In the example, we highlight an infinite-dimensional kernel-herding setting in which the Frank-Wolfe algorithm (FW) with open-loop step-sizes converges non-asymptotically faster than FW with line-search or short-step.

Owner

  • Name: IOL Lab
  • Login: ZIB-IOL
  • Kind: organization
  • Location: Germany

Working on optimization and learning at the intersection of mathematics and computer science

Citation (CITATIONS.bib)

% general citation for the package
@inproceedings{wirth2023acceleration,
  title={Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes},
  author={Elias Wirth and Thomas Kerdreux and Sebastian Pokutta},
  booktitle={International Conference on Artificial Intelligence and Statistics},
  year={2023},
  organization={PMLR}
}

GitHub Events

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Last synced: 11 months ago

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  • Total pull requests: 5
  • Average time to close issues: N/A
  • Average time to close pull requests: about 3 hours
  • Total issue authors: 0
  • Total pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 2
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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  • github-actions[bot] (2)
  • elwirth (2)
  • matbesancon (1)
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