Convergence of kinetic Langevin samplers for non-convex potentials
Abstract
We study three kinetic Langevin samplers including the Euler discretization, the BU and the UBU splitting scheme. We provide contraction results in -Wasserstein distance for non-convex potentials. These results are based on a carefully tailored distance function and an appropriate coupling construction. Additionally, the error in the -Wasserstein distance between the true target measure and the invariant measure of the discretization scheme is bounded. To get an -accuracy in -Wasserstein distance, we show complexity guarantees of order for the Euler scheme and for the UBU scheme under appropriate assumptions on the target measure. The results are applicable to interacting particle systems and provide bounds for sampling probability measures of mean-field type.
Keywords
Cite
@article{arxiv.2405.09992,
title = {Convergence of kinetic Langevin samplers for non-convex potentials},
author = {Katharina Schuh and Peter A. Whalley},
journal= {arXiv preprint arXiv:2405.09992},
year = {2025}
}
Comments
50 pages, 4 figures