Quantifying the uncertainty of quantities of interest (QoIs) from physic...
We extend an adaptive partially matrix-free Hierarchically Semi-Separabl...
We present a data structure to randomly sample rows from the Khatri-Rao
...
Low-rank Candecomp / PARAFAC (CP) Decomposition is a powerful tool for t...
We show how to develop sampling-based alternating least squares (ALS)
al...
Least squares regression is a ubiquitous tool for building emulators (a....
Approximate solutions to large least squares problems can be computed
ef...
Recent papers have developed alternating least squares (ALS) methods for...
Many fundamental problems in data mining can be reduced to one or more
N...
We propose a sampling based method for computing the tensor ring (TR)
de...
In the recent paper [Jin, Kolda Ward, arXiv:1909.04801], it is prove...
Many irregular domains such as social networks, financial transactions,
...
We present a method for randomizing a formula for bilinear computation o...
We propose a new fast randomized algorithm for interpolative decompositi...