Tensors

Shifted Power Method for Computing Tensor Eigenpairs

T. G. Kolda and J. R. Mayo, SIAM Journal on Matrix Analysis and Applications, 2011

Multilinear Algebra for Analyzing Data with Multiple Linkages

D. M. Dunlavy, T. G. Kolda and W. P. Kegelmeyer, In Graph Algorithms in the Language of Linear Algebra, 2011

All-at-once Optimization for Coupled Matrix and Tensor Factorizations

E. Acar, T. G. Kolda and D. M. Dunlavy, In MLG’11: Proceedings of Mining and Learning with Graphs, 2011

Efficiently Computing Tensor Eigenvalues on a GPU

G. Ballard, T. G. Kolda and T. Plantenga, In IPDPSW’11: Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum, 2011

Making Tensor Factorizations Robust to Non-Gaussian Noise

E. C. Chi and T. G. Kolda, Tech. Rep., Sandia National Laboratories, 2011

Scalable Tensor Factorizations for Incomplete Data

E. Acar, D. M. Dunlavy, T. G. Kolda and M. Mørup, Chemometrics and Intelligent Laboratory Systems, 2011

Temporal Link Prediction using Matrix and Tensor Factorizations

D. M. Dunlavy, T. G. Kolda and E. Acar, ACM Transactions on Knowledge Discovery from Data, 2011

A Scalable Optimization Approach for Fitting Canonical Tensor Decompositions

E. Acar, D. M. Dunlavy and T. G. Kolda, Journal of Chemometrics, 2011

Making Tensor Factorizations Robust to Non-Gaussian Noise

E. C. Chi and T. G. Kolda, In NIPS Workshop on Tensors, Kernels, and Machine Learning, 2010

Scalable Tensor Factorizations with Missing Data

E. Acar, D. M. Dunlavy, T. G. Kolda and M. Mørup, In SDM10: Proceedings of the 2010 SIAM International Conference on Data Mining, 2010