Sliced Wasserstein Sketches with Error Certificates
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 di…
Read the full story at arXiv cs.LG ↗
Timeline · 1 report
- 2026-10-16 04:00 · arXiv cs.LG
Sliced Wasserstein Sketches with Error Certificates