Data Science

Tensor Decompositions for Data Science

G. Ballard and T. G. Kolda, Tensor Decompositions for Data Science, Cambridge University Press, forthcoming

New Book: Tensor Decompositions for Data Science

We are happy to share a draft of our forthcoming textbook. Click for more…

WiDS22 Pictures

Women in Data Science (WiDS22) was an excellent conference, including portraits from famous illustrator Liza Donnelly.

Tensor Moments of Gaussian Mixture Models: Theory and Applications

J. M. Pereira, J. Kileel and T. G. Kolda, , 2022

Stochastic Gradients for Large-Scale Tensor Decomposition

T. G. Kolda and D. Hong, SIAM Journal on Mathematics of Data Science, 2020

Faster Johnson-Lindenstrauss Transforms via Kronecker Products

R. Jin, T. G. Kolda and R. Ward, Information and Inference: A Journal of the IMA, 2020

Mathematics: The Tao of Data Science

T. Kolda, Harvard Data Science Review, 2020

Estimating Higher-Order Moments Using Symmetric Tensor Decomposition

S. Sherman and T. G. Kolda, SIAM Journal on Matrix Analysis and Applications, 2020