Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format

Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck +1

Low-rank tensor approximations have shown great potential for uncertainty quantification in high dimensions, for example, to build surrogate models that can be used to speed up lar…