Robust Wasserstein barycenter

Fuente: arXiv
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Auteurs principaux: Cheng, Zixiong, Liu, Hang
Format: Preprint
Publié: 2026
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author Cheng, Zixiong
Liu, Hang
author_facet Cheng, Zixiong
Liu, Hang
contents In this paper, we address a fundamental limitation of the classical Wasserstein barycenter -- its sensitivity to outliers. To overcome these issues, we propose the robust Wasserstein barycenter (RWB) based on a recent concept of the robust optimal transport. Theoretical guarantees, including existence and consistency, are established for the proposed RWB. Through extensive numerical experiments on both simulated and real-world data -- including image processing and financial data analysis -- we demonstrate that the RWB exhibits superior robustness compared to the classical Wasserstein barycenter.
format Preprint
id arxiv_https___arxiv_org_abs_2603_07563
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Robust Wasserstein barycenter
Cheng, Zixiong
Liu, Hang
Methodology
In this paper, we address a fundamental limitation of the classical Wasserstein barycenter -- its sensitivity to outliers. To overcome these issues, we propose the robust Wasserstein barycenter (RWB) based on a recent concept of the robust optimal transport. Theoretical guarantees, including existence and consistency, are established for the proposed RWB. Through extensive numerical experiments on both simulated and real-world data -- including image processing and financial data analysis -- we demonstrate that the RWB exhibits superior robustness compared to the classical Wasserstein barycenter.
title Robust Wasserstein barycenter
topic Methodology
url https://arxiv.org/abs/2603.07563