Sharp comparisons between sliced and standard $1$-Wasserstein distances
Statistics Theory
2025-10-21 v1 Metric Geometry
Optimization and Control
Statistics Theory
Abstract
Sliced Wasserstein distances are widely used in practice as a computationally efficient alternative to Wasserstein distances in high dimensions. In this paper, motivated by theoretical foundations of this alternative, we prove quantitative estimates between the sliced -Wasserstein distance and the -Wasserstein distance. We construct a concrete example to demonstrate the exponents in the estimate is sharp. We also provide a general analysis for the case where slicing involves projections onto -planes and not just lines.
Keywords
Cite
@article{arxiv.2510.16465,
title = {Sharp comparisons between sliced and standard $1$-Wasserstein distances},
author = {Guillaume Carlier and Alessio Figalli and Quentin Mérigot and Yi Wang},
journal= {arXiv preprint arXiv:2510.16465},
year = {2025}
}
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19 pages