Tamara G. Kolda

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Brett W. BaderDirector of R&D, Maxar TechnologiesVerified email at maxar.com
Daniel M. DunlavySandia National LaboratoriesVerified email at sandia.gov
Ali PinarComputer ScientistVerified email at llnl.gov
Evrim AcarSimula Research LabVerified email at simula.no
C. SeshadhriUniversity of California, Santa CruzVerified email at ucsc.edu
Eric PhippsSandia National LaboratoriesVerified email at sandia.gov
Robert Michael LewisDepartment of Computer Science, William and MaryVerified email at wm.edu
Dianne P O'LearyProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Grey BallardWake Forest UniversityVerified email at wfu.edu
Michael HerouxSenior Research Scientist, ParaTools, Inc.; St John’s UniversityVerified email at acm.org
Joshua D GriffinSAS Institute Inc.Verified email at sas.com
Bruce HendricksonLawrence Livermore National LaboratoryVerified email at llnl.gov
Morten MørupSection for Cognitive Systems, Technical University of DenmarkVerified email at dtu.dk
Eric C. ChiAssociate Professor of Statistics, Rice UniversityVerified email at rice.edu
Jimeng SunProfessor at University of Illinois Urbana-ChampaignVerified email at illinois.edu
Jackson R. MayoDistinguished R&D Scientist, Sandia National LaboratoriesVerified email at sandia.gov
Nurcan DurakPostdoctoral Researcher, Sandia National LabsVerified email at sandia.gov
William Philip KegelmeyerSandia National LaboratoriesVerified email at sandia.gov
Joseph P. KennySandia National LaboratoriesVerified email at sandia.gov
Alex H WilliamsNew York University & Flatiron InstituteVerified email at nyu.edu

Tamara G. Kolda

MathSci.ai (independent consulting)

Verified email at mathsci.ai - Homepage

tensor decompositions randomized algorithms mathematical data science high-performance computing efficient algorithms


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Tensor decompositions and applications TG Kolda, BW Bader SIAM review 51 (3), 455-500, 2009	12327	2009
Optimization by direct search: New perspectives on some classical and modern methods TG Kolda, RM Lewis, V Torczon SIAM review 45 (3), 385-482, 2003	2312	2003
An overview of the Trilinos project MA Heroux, RA Bartlett, VE Howle, RJ Hoekstra, JJ Hu, TG Kolda, ... ACM Transactions on Mathematical Software (TOMS) 31 (3), 397-423, 2005	1483	2005
Scalable tensor factorizations for incomplete data E Acar, DM Dunlavy, TG Kolda, M Mørup Chemometrics and Intelligent Laboratory Systems 106 (1), 41-56, 2011	882	2011
Temporal link prediction using matrix and tensor factorizations DM Dunlavy, TG Kolda, E Acar ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (2), 1-27, 2011	694	2011
Graph partitioning models for parallel computing B Hendrickson, TG Kolda Parallel computing 26 (12), 1519-1534, 2000	690	2000
Matlab tensor toolbox version 2.6 BW Bader, TG Kolda available online, february 3, 2015	681	2015
Algorithm 862: MATLAB tensor classes for fast algorithm prototyping BW Bader, TG Kolda ACM Transactions on Mathematical Software (TOMS) 32 (4), 635-653, 2006	678	2006
Efficient MATLAB computations with sparse and factored tensors BW Bader, TG Kolda SIAM Journal on Scientific Computing 30 (1), 205-231, 2008	622	2008
Multilinear operators for higher-order decompositions. TG Kolda Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2006	576	2006
Orthogonal tensor decompositions TG Kolda SIAM Journal on Matrix Analysis and Applications 23 (1), 243-255, 2001	526	2001
An overview of Trilinos M Heroux, R Bartlett, VHR Hoekstra, J Hu, T Kolda, R Lehoucq, K Long, ... Technical Report SAND2003-2927, Sandia National Laboratories, 2003	492	2003
Scalable tensor decompositions for multi-aspect data mining TG Kolda, J Sun 2008 Eighth IEEE international conference on data mining, 363-372, 2008	487	2008
Higher-order web link analysis using multilinear algebra TG Kolda, BW Bader, JP Kenny Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005	405	2005
Shifted power method for computing tensor eigenpairs TG Kolda, JR Mayo SIAM Journal on Matrix Analysis and Applications 32 (4), 1095-1124, 2011	402	2011
A scalable optimization approach for fitting canonical tensor decompositions E Acar, DM Dunlavy, TG Kolda Journal of chemometrics 25 (2), 67-86, 2011	384	2011
All-at-once optimization for coupled matrix and tensor factorizations E Acar, TG Kolda, DM Dunlavy arXiv preprint arXiv:1105.3422, 2011	371	2011
On tensors, sparsity, and nonnegative factorizations EC Chi, TG Kolda SIAM Journal on Matrix Analysis and Applications 33 (4), 1272-1299, 2012	370	2012
Community structure and scale-free collections of Erdős-Rényi graphs C Seshadhri, TG Kolda, A Pinar Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (5 …, 2012	366	2012
A semidiscrete matrix decomposition for latent semantic indexing information retrieval TG Kolda, DP O'leary ACM Transactions on Information Systems (TOIS) 16 (4), 322-346, 1998	352	1998

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