Tag: Gromov

Rising significance of Gromov–Hausdorff distance in Machine Learning and Optimal Transport research…

We show how to make precise the vague idea that for compact metric spaces that are close together for Gromov-Hausdorff distance, suitable vector bundles on one metric space will have counterpart vector bundles on the other. Our approach employs the Lipschitz constants of projection-valued functions ...