Sharp comparisons between sliced and standard 1-Wasserstein distances
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Abstract (arXiv)
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 1-Wasserstein distance and the 1-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 k-planes and not just lines.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Oct 2025.
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Citing papers per year: 2026: 2.
2 papers.
- 2026Convergence Rates for Distribution Matching with Sliced Optimal Transportcited by 2
- 2026The Observable Wasserstein Distancecited by 0
- 2026The Observable Wasserstein Distance11 May 2026
- 2026Convergence Rates for Distribution Matching with Sliced Optimal Transport11 Feb 2026