stochasticfrankwolfe
Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.
Science Score: 54.0%
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Low similarity (6.2%) to scientific vocabulary
Keywords
Repository
Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.
Statistics
- Stars: 10
- Watchers: 0
- Forks: 7
- Open Issues: 2
- Releases: 1
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Metadata Files
README.md
Stochastic Frank Wolfe library for TensorFlow and PyTorch
This repository contains the Stochastic Frank Wolfe (SFW) implementation in TensorFlow and Pytorch that was developed alongside the two following publications:
Deep Neural Network Training with Frank-Wolfe (arXiv:2010.07243)
Authors: Sebastian Pokutta, Christoph Spiegel, Max Zimmer
Colab Notebooks to reproduce the exact experiments of the paper: * Colab Notebook for visualization of constraints (TensorFlow) * Colab Notebook for sparseness during training (TensorFlow) * Colab Notebook for comparing stochastic Frank–Wolfe methods (TensorFlow) * Colab Notebook for large network training (PyTorch)
In case you find the paper or the implementation useful for your own research, please consider citing:
@article{pokutta2020deep,
title={Deep neural network training with frank-wolfe},
author={Pokutta, Sebastian and Spiegel, Christoph and Zimmer, Max},
journal={arXiv preprint arXiv:2010.07243},
year={2020}
}
Projection-Free Adaptive Gradients for Large-Scale Optimization (arXiv:2009.14114)
Authors: Cyrille W. Combettes, Christoph Spiegel, Sebastian Pokutta
Colab Notebooks to reproduce the exact experiments of the paper: * Colab Notebook for convex objectives (not using this repository) * Colab Notebook for non-convex objectives (TensorFlow)
In case you find the paper or the implementation useful for your own research, please consider citing:
@article{combettes2020projection,
title={Projection-free adaptive gradients for large-scale optimization},
author={Combettes, Cyrille W and Spiegel, Christoph and Pokutta, Sebastian},
journal={arXiv preprint arXiv:2009.14114},
year={2020}
}
Owner
- Name: IOL Lab
- Login: ZIB-IOL
- Kind: organization
- Location: Germany
- Website: https://iol.zib.de
- Repositories: 27
- Profile: https://github.com/ZIB-IOL
Working on optimization and learning at the intersection of mathematics and computer science
Citation (citation.bib)
@article{pokutta2020deep,
title={Deep neural network training with frank-wolfe},
author={Pokutta, Sebastian and Spiegel, Christoph and Zimmer, Max},
journal={arXiv preprint arXiv:2010.07243},
year={2020}
}
@article{combettes2020projection,
title={Projection-free adaptive gradients for large-scale optimization},
author={Combettes, Cyrille W and Spiegel, Christoph and Pokutta, Sebastian},
journal={arXiv preprint arXiv:2009.14114},
year={2020}
}
GitHub Events
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Last Year
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Last synced: 10 months ago
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- Total issues: 2
- Total pull requests: 2
- Average time to close issues: 5 months
- Average time to close pull requests: less than a minute
- Total issue authors: 2
- Total pull request authors: 2
- Average comments per issue: 0.5
- Average comments per pull request: 0.5
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
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
Top Authors
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- GeoffNN (1)
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- alejandro-carderera (1)
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