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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: 11 days 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 (over 1 year ago)
- Last Synced: 2024-08-01T16:53:34.246Z (3 months ago)
- Topics: majorize-minimization, optimal-transport, optimization, principal-component-analysis
- Language: Python
- Homepage: https://arxiv.org/abs/2303.05119
- Size: 930 KB
- Stars: 7
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
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}
}
```