Machine Learning

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

Generalized Canonical Polyadic Tensor Decomposition

D. Hong, T. G. Kolda and J. A. Duersch, SIAM Review, 2020

XPCA: Extending PCA for a Combination of Discrete and Continuous Variables

C. Anderson-Bergman, T. G. Kolda and K. Kincher-Winoto, arXiv, 2018

COMET: A Recipe for Learning and Using Large Ensembles on Massive Data

J. D. Basilico, M. A. Munson, T. G. Kolda, K. R. Dixon and W. P. Kegelmeyer, In ICDM 2011: Proceedings of the 2011 IEEE International Conference on Data Mining, 2011