Movatterモバイル変換


[0]ホーム

URL:


Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"

NotificationsYou must be signed in to change notification settings

francoispierrepaty/SubspaceRobustWasserstein

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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.


[8]ページ先頭

©2009-2025 Movatter.jp