We present a new algorithm for incrementally updating the tensor-train
d...
We present a hybrid sampling-surrogate approach for reducing the
computa...
The recent growth in multi-fidelity uncertainty quantification has given...
We propose an optimal solution to a deterministic dynamic assignment pro...
We describe and analyze a Monte Carlo (MC) sampling framework for
accele...
We consider the task of low-multilinear-rank functional regression, i.e....