2025
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
ICML 2025poster
Optimal transport has been very successful for various machine learning tasks; however, it is known to suffer from the curse of dimensionality. Hence, dimensionality reduction is desirable when applied to high-dimensional data with low-dimensional structures. The kernel max-sliced (KMS) Wasserstein…