Skip to content
Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.
Experiments Delete .DS_Store Apr 3, 2019
Optimization Update Jun 14, 2019
demo.ipynb SRW Apr 3, 2019

Subspace Robust Wasserstein

This repository contains Python code for computing the Subspace Robust Wasserstein Distances defined in

Paty, F. & Cuturi, M.. (2019). Subspace Robust Wasserstein Distances. Proceedings of the 36th International Conference on Machine Learning, in PMLR 97:5072-5081

A demo notebook shows how SRW distances can be computed in a simple case.

The experiments from the paper can be reproduced using the code in the "Experiments" folder.

You can’t perform that action at this time.