Intrinsic Dimension Estimation Using Wasserstein Distances

Adam Block, Zeyu Jia, Yury Polyanskiy +1

It has long been thought that high-dimensional data encountered in many practical machine learning tasks have low-dimensional structure, i.e., the manifold hypothesis holds. A natu…