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Sliced Wasserstein Sketches with Error Certificates

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 distance and extend it to higher dimensions via…

By Elaheh Akbari, James Liu, Keaton Hamm, Soheil KolouriarXiv cs.LG

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Originally published by arXiv cs.LG on Oct 16, 2026.

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