Tensors

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 _Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum (IPDPSW’11)_IEEE Computer Society, 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

Link Prediction on Evolving Data using Matrix and Tensor Factorizations

E. Acar, D. M. Dunlavy and T. G. Kolda, In ICDMW’09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, 2009