arXiv · 1904.00891
Gaussian approximation for penalized Wasserstein barycenters
Abstract
In this work we consider regularized Wasserstein barycenters (average in Wasserstein distance) in Fourier basis. We prove that random Fourier parameters of the barycenter converge to some Gaussian random vector by distribution. The convergence rate has been derived in finite-sample case with explicit dependence on measures count ($n$) and the dimension of parameters ($p$).
Explore related subjects
Keep this discovery
Nazar Buzun. 2019-04-01. Gaussian approximation for penalized Wasserstein barycenters. https://arxiv.org/abs/1904.00891
Cite the original work for its findings. Save a collection to share your selection of sources.