no code implementations • 5 Oct 2023 • Keaton Hamm, Andrzej Korzeniowski
We expound on some known lower bounds of the quadratic Wasserstein distance between random vectors in $\mathbb{R}^n$ with an emphasis on affine transformations that have been used in manifold learning of data in Wasserstein space.
