Tamara G. Kolda

ORCID

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 31

Top Venues

CoRR

SIAM J. Sci. Comput.

SIAM J. Matrix Anal. Appl.

J. Complex Networks

Publications

Rachel A. Ward, Tamara G. Kolda
Convergence of Alternating Gradient Descent for Matrix Factorization. NeurIPS (2023)
Eric T. Phipps, Nicholas T. Johnson, Tamara G. Kolda
Streaming Generalized Canonical Polyadic Tensor Decompositions. PASC (2023)
Rachel Ward, Tamara G. Kolda
Convergence of Alternating Gradient Descent for Matrix Factorization. CoRR (2023)
Brett W. Larsen, Tamara G. Kolda
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. SIAM J. Matrix Anal. Appl. 43 (3) (2022)
Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel Ward
Scalable symmetric Tucker tensor decomposition. CoRR (2022)
Brett W. Larsen, Tamara G. Kolda
Sketching Matrix Least Squares via Leverage Scores Estimates. CoRR (2022)
João M. Pereira, Joe Kileel, Tamara G. Kolda
Tensor Moments of Gaussian Mixture Models: Theory and Applications. CoRR (2022)
Eric T. Phipps, Nick Johnson, Tamara G. Kolda
Streaming Generalized Canonical Polyadic Tensor Decompositions. CoRR (2021)
Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
Randomized Algorithms for Scientific Computing (RASC). CoRR (2021)
Brett W. Larsen, Tamara G. Kolda
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. CoRR (2020)
Samantha Sherman, Tamara G. Kolda
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition. SIAM J. Matrix Anal. Appl. 41 (3) (2020)
Tamara G. Kolda, David Hong
Stochastic Gradients for Large-Scale Tensor Decomposition. SIAM J. Math. Data Sci. 2 (4) (2020)
Grey Ballard, Alicia M. Klinvex, Tamara G. Kolda
TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition. ACM Trans. Math. Softw. 46 (2) (2020)
David Hong, Tamara G. Kolda, Jed A. Duersch
Generalized Canonical Polyadic Tensor Decomposition. SIAM Rev. 62 (1) (2020)
Samantha Sherman, Tamara G. Kolda
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition. CoRR (2019)
Tamara G. Kolda
Introduction to SIAM Journal on Mathematics of Data Science (SIMODS). SIAM J. Math. Data Sci. 1 (1) (2019)
Grey Ballard, Alicia M. Klinvex, Tamara G. Kolda
TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition. CoRR (2019)
Tamara G. Kolda, David Hong
Stochastic Gradients for Large-Scale Tensor Decomposition. CoRR (2019)
Ruhui Jin, Tamara G. Kolda, Rachel Ward
Faster Johnson-Lindenstrauss Transforms via Kronecker Products. CoRR (2019)
Eric T. Phipps, Tamara G. Kolda
Software for Sparse Tensor Decomposition on Emerging Computing Architectures. SIAM J. Sci. Comput. 41 (3) (2019)
Kenny Chowdhary, Tamara G. Kolda
An improved hyperbolic embedding algorithm. J. Complex Networks 6 (3) (2018)
Clifford Anderson-Bergman, Tamara G. Kolda, Kina Kincher-Winoto
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables. CoRR (2018)
Casey Battaglino, Grey Ballard, Tamara G. Kolda
A Practical Randomized CP Tensor Decomposition. SIAM J. Matrix Anal. Appl. 39 (2) (2018)
Eric T. Phipps, Tamara G. Kolda
Software for Sparse Tensor Decomposition on Emerging Computing Architectures. CoRR (2018)
David Hong, Tamara G. Kolda, Jed A. Duersch
Generalized Canonical Polyadic Tensor Decomposition. CoRR (2018)
C. Seshadhri, Ali Pinar, Nurcan Durak, Tamara G. Kolda
Directed closure measures for networks with reciprocity. J. Complex Networks 5 (1) (2017)
Casey Battaglino, Grey Ballard, Tamara G. Kolda
A Practical Randomized CP Tensor Decomposition. CoRR (2017)
Sinan Aksoy, Tamara G. Kolda, Ali Pinar
Measuring and modeling bipartite graphs with community structure. J. Complex Networks 5 (4) (2017)
Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama
Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (6) (2017)
Sinan Aksoy, Tamara G. Kolda, Ali Pinar
Measuring and Modeling Bipartite Graphs with Community Structure. CoRR (2016)
Woody Austin, Grey Ballard, Tamara G. Kolda
Parallel Tensor Compression for Large-Scale Scientific Data. IPDPS (2016)
Tamara G. Kolda
Numerical optimization for symmetric tensor decomposition. Math. Program. 151 (1) (2015)
Tamara G. Kolda
Symmetric Orthogonal Tensor Decomposition is Trivial. CoRR (2015)
Samantha Hansen, Todd D. Plantenga, Tamara G. Kolda
Newton-based optimization for Kullback-Leibler nonnegative tensor factorizations. Optim. Methods Softw. 30 (5) (2015)
Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama
Triangular Alignment (TAME): A Tensor-based Approach for Higher-order Network Alignment. CoRR (2015)
Grey Ballard, Ali Pinar, Tamara G. Kolda, C. Seshadhri
Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search. CoRR (2015)
Grey Ballard, Tamara G. Kolda, Ali Pinar, C. Seshadhri
Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search. ICDM (2015)
Woody Austin, Grey Ballard, Tamara G. Kolda
Parallel Tensor Compression for Large-Scale Scientific Data. CoRR (2015)
Christine Klymko, David F. Gleich, Tamara G. Kolda
Using Triangles to Improve Community Detection in Directed Networks. CoRR (2014)
Tamara G. Kolda, Jackson R. Mayo
An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs. SIAM J. Matrix Anal. Appl. 35 (4) (2014)
Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda
Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors. SIAM J. Sci. Comput. 36 (5) (2014)
Tamara G. Kolda
Numerical Optimization for Symmetric Tensor Decomposition. CoRR (2014)
Chengbin Peng, Tamara G. Kolda, Ali Pinar
Accelerating Community Detection by Using K-core Subgraphs. CoRR (2014)
Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri
A Scalable Generative Graph Model with Community Structure. SIAM J. Sci. Comput. 36 (5) (2014)
Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri, Christine Task
Counting Triangles in Massive Graphs with MapReduce. SIAM J. Sci. Comput. 36 (5) (2014)
C. Seshadhri, Ali Pinar, Tamara G. Kolda
Wedge sampling for computing clustering coefficients and triangle counts on large graphs. Stat. Anal. Data Min. 7 (4) (2014)
Tamara G. Kolda, Irad Yaneh
Special Section on Two Themes: Planet Earth and Big Data. SIAM J. Sci. Comput. 36 (5) (2014)
C. Seshadhri, Ali Pinar, Tamara G. Kolda
Wedge Sampling for Computing Clustering Coefficients and Triangle Counts on Large Graphs. CoRR (2013)
Nurcan Durak, Tamara G. Kolda, Ali Pinar, C. Seshadhri
A scalable null model for directed graphs matching all degree distributions: In, out, and reciprocal. NSW (2013)
Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar
Dynamics of trust reciprocation in multi-relational networks. ASONAM (2013)
Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda
Exploiting Symmetry in Tensors for High Performance CoRR (2013)
C. Seshadhri, Ali Pinar, Nurcan Durak, Tamara G. Kolda
The importance of directed triangles with reciprocity: patterns and algorithms CoRR (2013)
Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri
A Scalable Generative Graph Model with Community Structure CoRR (2013)
C. Seshadhri, Ali Pinar, Tamara G. Kolda
An in-depth analysis of stochastic Kronecker graphs. J. ACM 60 (2) (2013)
Samantha Hansen, Todd D. Plantenga, Tamara G. Kolda
Newton-Based Optimization for Nonnegative Tensor Factorizations CoRR (2013)
Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri, Christine Task
Counting Triangles in Massive Graphs with MapReduce CoRR (2013)
Karthik Subbian, Ayush Singhal, Tamara G. Kolda, Ali Pinar, Jaideep Srivastava
On Reciprocity in Massively Multi-player Online Game Networks CoRR (2013)
Tamara G. Kolda, Ali Pinar, C. Seshadhri
Triadic Measures on Graphs: The Power of Wedge Sampling. SDM (2013)
Nurcan Durak, Tamara G. Kolda, Ali Pinar, C. Seshadhri
A scalable directed graph model with reciprocal edges CoRR (2012)
Nurcan Durak, Ali Pinar, Tamara G. Kolda, C. Seshadhri
Degree Relations of Triangles in Real-world Networks and Models CoRR (2012)
C. Seshadhri, Ali Pinar, Tamara G. Kolda
The Similarity Between Stochastic Kronecker and Chung-Lu Graph Models. SDM (2012)
Nurcan Durak, Ali Pinar, Tamara G. Kolda, C. Seshadhri
Degree relations of triangles in real-world networks and graph models. CIKM (2012)
Eric C. Chi, Tamara G. Kolda
On Tensors, Sparsity, and Nonnegative Factorizations. SIAM J. Matrix Anal. Appl. 33 (4) (2012)
C. Seshadhri, Ali Pinar, Tamara G. Kolda
Fast Triangle Counting through Wedge Sampling CoRR (2012)
Tamara G. Kolda, Jackson R. Mayo
Shifted Power Method for Computing Tensor Eigenpairs. SIAM J. Matrix Anal. Appl. 32 (4) (2011)
Ali Pinar, C. Seshadhri, Tamara G. Kolda
The Similarity between Stochastic Kronecker and Chung-Lu Graph Models CoRR (2011)
C. Seshadhri, Ali Pinar, Tamara G. Kolda
An In-depth Study of Stochastic Kronecker Graphs. ICDM (2011)
C. Seshadhri, Ali Pinar, Tamara G. Kolda
A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs CoRR (2011)
Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data CoRR (2011)
C. Seshadhri, Tamara G. Kolda, Ali Pinar
Community structure and scale-free collections of Erdös-Rényi graphs CoRR (2011)
Grey Ballard, Tamara G. Kolda, Todd D. Plantenga
Efficiently Computing Tensor Eigenvalues on a GPU. IPDPS Workshops (2011)
Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
Temporal Link Prediction Using Matrix and Tensor Factorizations. ACM Trans. Knowl. Discov. Data 5 (2) (2011)
Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data. ICDM (2011)
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy
All-at-once Optimization for Coupled Matrix and Tensor Factorizations CoRR (2011)
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup
Scalable Tensor Factorizations for Incomplete Data CoRR (2010)
Joshua D. Griffin, Tamara G. Kolda
Asynchronous parallel hybrid optimization combining DIRECT and GSS. Optim. Methods Softw. 25 (5) (2010)
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup
Scalable Tensor Factorizations with Missing Data. SDM (2010)
Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
Temporal Link Prediction using Matrix and Tensor Factorizations CoRR (2010)
Tamara G. Kolda, Brett W. Bader
Tensor Decompositions and Applications. SIAM Rev. 51 (3) (2009)
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. ICDM Workshops (2009)
Tamara G. Kolda, Jimeng Sun
Scalable Tensor Decompositions for Multi-aspect Data Mining. ICDM (2008)
Joshua D. Griffin, Tamara G. Kolda, Robert Michael Lewis
Asynchronous Parallel Generating Set Search for Linearly Constrained Optimization. SIAM J. Sci. Comput. 30 (4) (2008)
Brett W. Bader, Tamara G. Kolda
Efficient MATLAB Computations with Sparse and Factored Tensors. SIAM J. Sci. Comput. 30 (1) (2007)
Christos Faloutsos, Tamara G. Kolda, Jimeng Sun
Mining large graphs and streams using matrix and tensor tools. SIGMOD Conference (2007)
Peter A. Chew, Brett W. Bader, Tamara G. Kolda, Ahmed Abdelali
Cross-language information retrieval using PARAFAC2. KDD (2007)
Brett W. Bader, Richard A. Harshman, Tamara G. Kolda
Temporal Analysis of Semantic Graphs Using ASALSAN. ICDM (2007)
Brett W. Bader, Tamara G. Kolda
Algorithm 862: MATLAB tensor classes for fast algorithm prototyping. ACM Trans. Math. Softw. 32 (4) (2006)
Tamara G. Kolda, Robert Michael Lewis, Virginia Torczon
Stationarity Results for Generating Set Search for Linearly Constrained Optimization. SIAM J. Optim. 17 (4) (2006)
Joshua D. Griffin, Tamara G. Kolda
A Parallel, Asynchronous Method for Derivative-Free Nonlinear Programs. ICMS (2006)
Genetha Anne Gray, Tamara G. Kolda
Algorithm 856: APPSPACK 4.0: asynchronous parallel pattern search for derivative-free optimization. ACM Trans. Math. Softw. 32 (3) (2006)
Michael A. Heroux, Roscoe A. Bartlett, Vicki E. Howle, Robert J. Hoekstra, Jonathan J. Hu, Tamara G. Kolda, Richard B. Lehoucq, Kevin R. Long, Roger P. Pawlowski, Eric T. Phipps, Andrew G. Salinger, Heidi Thornquist, Ray S. Tuminaro, James M. Willenbring, Alan B. Williams, Kendall S. Stanley
An overview of the Trilinos project. ACM Trans. Math. Softw. 31 (3) (2005)
Tamara G. Kolda, Brett W. Bader, Joseph P. Kenny
Higher-Order Web Link Analysis Using Multilinear Algebra. ICDM (2005)
Tamara G. Kolda
Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization. SIAM J. Optim. 16 (2) (2005)
Tamara G. Kolda, Virginia Torczon
On the Convergence of Asynchronous Parallel Pattern Search. SIAM J. Optim. 14 (4) (2004)
Genetha Anne Gray, Tamara G. Kolda, Ken Sale, Malin M. Young
Optimizing an Empirical Scoring Function for Transmembrane Protein Structure Determination. INFORMS J. Comput. 16 (4) (2004)
Tamara G. Kolda, Robert Michael Lewis, Virginia Torczon
Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods. SIAM Rev. 45 (3) (2003)
Tamara G. Kolda
A Counterexample to the Possibility of an Extension of the Eckart-Young Low-Rank Approximation Theorem for the Orthogonal Rank Tensor Decomposition. SIAM J. Matrix Anal. Appl. 24 (3) (2003)
Tamara G. Kolda
Orthogonal Tensor Decompositions. SIAM J. Matrix Anal. Appl. 23 (1) (2001)
Patricia D. Hough, Tamara G. Kolda, Virginia Torczon
Asynchronous Parallel Pattern Search for Nonlinear Optimization. SIAM J. Sci. Comput. 23 (1) (2001)
John M. Conroy, Robert L. Becker Jr., William Lefkowitz, Kewi L. Christopher, Rawatmal B. Surana, Timothy J. O'Leary, Dianne P. O'Leary, Tamara G. Kolda
Hidden Markov Models for Chromosome Identification. CBMS (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tamara G. Kolda