39 citations · 71 across the 10 of their papers we have counts for
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math.NA2022
Scalable symmetric Tucker tensor decomposition
Ruhui Jin, Joe Kileel, Tamara G. Kolda +1
We study the best low-rank Tucker decomposition of symmetric tensors. The motivating application is decomposing higher-order multivariate moments. Moment tensors have special struc…
stat.ML2022★ 4 cited
Tensor Moments of Gaussian Mixture Models: Theory and Applications
João M. Pereira, Joe Kileel, Tamara G. Kolda
Gaussian mixture models (GMMs) are fundamental tools in statistical and data sciences. We study the moments of multivariate Gaussians and GMMs. The -th moment of an -dimensio…
math.NA2022
Revisiting Approximate Leverage Score Sketching for Matrix Least Squares
Brett W. Larsen, Tamara G. Kolda
We revisit the problem of sketching using approximate leverage scores for matrix least squares problems of the form where the design matrix $A \in \mathbb{R}^{N…