arxiv
PublishedOctober 16, 2026 at 4:00 AM
Sliced Wasserstein Sketches with Error Certificates
Publisher summary· verbatim
arXiv:2610.20788v1 Announce Type: new Abstract: Compact representations that support geometrically meaningful comparisons are valuable for learning from probability distributions. We study optimal, free-weight $M$-atom quantization of one-dimensional probability measures in quadratic Wasserstein dis
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Originally published on arxiv ↗