arXiv stat.ML
· Papers
Optimal Transport for Machine Learners
arXiv:2505.06589v3 Announce Type: replace Abstract: Modern machine learning repeatedly manipulates probability measures: empirical datasets, generated samples, latent distributions, class-conditional laws, particle systems, weights of wide networks and attention patterns. Optimal transport is useful in this setting bec