https://github.com/antoinecollas/Entropic_Wasserstein_Component_Analysis

Python of "Entropic Wasserstein Component Analysis" paper
https://github.com/antoinecollas/Entropic_Wasserstein_Component_Analysis

majorize-minimization optimal-transport optimization principal-component-analysis

Last synced: 4 months ago
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Python of "Entropic Wasserstein Component Analysis" paper

• Host: GitHub
• URL: https://github.com/antoinecollas/Entropic_Wasserstein_Component_Analysis
• Owner: antoinecollas
• License: mit
• Created: 2023-03-09T08:23:14.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-19T14:10:28.000Z (11 months ago)
• Last Synced: 2024-01-16T10:41:59.115Z (5 months ago)
• Topics: majorize-minimization, optimal-transport, optimization, principal-component-analysis
• Language: Python
• Homepage: https://arxiv.org/abs/2303.05119
• Size: 930 KB
• Stars: 6
• Watchers: 5
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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• awesome-stars - antoinecollas/Entropic_Wasserstein_Component_Analysis - Python of "Entropic Wasserstein Component Analysis" paper (Python)

README

        
# Entropic Wasserstein Component Analysis

/!\ It is preferable to use the implementation of EWCA available in [POT](https://github.com/PythonOT/POT) (see `ot.dr` module).

This repository hosts Python code for the numerical experiments of the associated [arXiv paper](https://arxiv.org/abs/2303.05119).

## Run numerical experiments

To run experiments, run the script `get_figures.sh`.

## Cite

If you use this code please cite:

```

@misc{collas23EWCA,

      title = {Entropic Wasserstein Component Analysis},

      author = {Collas, Antoine and Vayer, Titouan and Flamary, Rémi and Breloy, Arnaud},

      year = {2023},

      url = {https://arxiv.org/abs/2303.05119}

}

```