Tamara G. Kolda

115 papers A* 8A 5B 2Journal 91Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fast and Accurate CP-HIFI Tensor Decompositions: Exploiting Kronecker Structure.
CoRR
Johannes J. Brust, Tamara G. Kolda
2026 J jnl
First Proof.
CoRR
Mohammed Abouzaid, Andrew J. Blumberg, Martin Hairer, Joe Kileel, Tamara G. Kolda, Paul D. Nelson, Daniel Spielman, Nikhil Srivastava, Rachel A. Ward, Shmuel Weinberger, Lauren Williams
2026 J jnl
Tensor Decomposition with Unaligned Observations.
SIAM J. Matrix Anal. Appl.
Runshi Tang, Tamara G. Kolda, Anru R. Zhang
2025 J jnl
The Fascinating World of 2 ⨉ 2 ⨉ 2 Tensors: Its Geometry and Optimization Challenges.
CoRR
Gabriel H. Brown, Joe Kileel, Tamara G. Kolda
2024 J jnl
Scalable Symmetric Tucker Tensor Decomposition.
SIAM J. Matrix Anal. Appl.
Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel A. Ward
2024 J jnl
Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data.
CoRR
Brett W. Larsen, Tamara G. Kolda, Anru R. Zhang, Alex H. Williams
2024 J jnl
Tensor Decomposition with Unaligned Observations.
CoRR
Runshi Tang, Tamara G. Kolda, Anru R. Zhang
2023 A* conf
Convergence of Alternating Gradient Descent for Matrix Factorization.
NeurIPS
Rachel A. Ward, Tamara G. Kolda
2023 J jnl
Convergence of Alternating Gradient Descent for Matrix Factorization.
CoRR
Rachel A. Ward, Tamara G. Kolda
2023 — conf
Streaming Generalized Canonical Polyadic Tensor Decompositions.
PASC
Eric T. Phipps, Nicholas T. Johnson, Tamara G. Kolda
2022 J jnl
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition.
SIAM J. Matrix Anal. Appl.
Brett W. Larsen, Tamara G. Kolda
2022 J jnl
Scalable symmetric Tucker tensor decomposition.
CoRR
Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel A. Ward
2022 J jnl
Sketching Matrix Least Squares via Leverage Scores Estimates.
CoRR
Brett W. Larsen, Tamara G. Kolda
2022 J jnl
Tensor Moments of Gaussian Mixture Models: Theory and Applications.
CoRR
João M. Pereira, Joe Kileel, Tamara G. Kolda
2021 J jnl
Randomized Algorithms for Scientific Computing (RASC).
CoRR
Aydin Buluç, Tamara G. Kolda, Stefan M. Wild, Mihai Anitescu, Anthony M. DeGennaro, John Jakeman, Chandrika Kamath, Ramakrishnan Kannan, Miles E. Lopes, Per-Gunnar Martinsson, Kary L. Myers, Jelani Nelson, Juan M. Restrepo, C. Seshadhri, Draguna L. Vrabie, Brendt Wohlberg, Stephen J. Wright, Chao Yang, Peter Zwart
2021 J jnl
Streaming Generalized Canonical Polyadic Tensor Decompositions.
CoRR
Eric T. Phipps, Nick Johnson, Tamara G. Kolda
2020 J jnl
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition.
SIAM J. Matrix Anal. Appl.
Samantha Sherman, Tamara G. Kolda
2020 J jnl
Generalized Canonical Polyadic Tensor Decomposition.
SIAM Rev.
David Hong, Tamara G. Kolda, Jed A. Duersch
2020 J jnl
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition.
CoRR
Brett W. Larsen, Tamara G. Kolda
2020 J jnl
Stochastic Gradients for Large-Scale Tensor Decomposition.
SIAM J. Math. Data Sci.
Tamara G. Kolda, David Hong
2020 J jnl
TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition.
ACM Trans. Math. Softw.
Grey Ballard, Alicia M. Klinvex, Tamara G. Kolda
2019 J jnl
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition.
CoRR
Samantha Sherman, Tamara G. Kolda
2019 J jnl
Faster Johnson-Lindenstrauss Transforms via Kronecker Products.
CoRR
Ruhui Jin, Tamara G. Kolda, Rachel A. Ward
2019 J jnl
Introduction to SIAM Journal on Mathematics of Data Science (SIMODS).
SIAM J. Math. Data Sci.
Tamara G. Kolda
2019 J jnl
Software for Sparse Tensor Decomposition on Emerging Computing Architectures.
SIAM J. Sci. Comput.
Eric T. Phipps, Tamara G. Kolda
2019 J jnl
Stochastic Gradients for Large-Scale Tensor Decomposition.
CoRR
Tamara G. Kolda, David Hong
2019 J jnl
TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition.
CoRR
Grey Ballard, Alicia M. Klinvex, Tamara G. Kolda
2018 J jnl
A Practical Randomized CP Tensor Decomposition.
SIAM J. Matrix Anal. Appl.
Casey Battaglino, Grey Ballard, Tamara G. Kolda
2018 J jnl
An improved hyperbolic embedding algorithm.
J. Complex Networks
Kenny Chowdhary, Tamara G. Kolda
2018 J jnl
Generalized Canonical Polyadic Tensor Decomposition.
CoRR
David Hong, Tamara G. Kolda, Jed A. Duersch
2018 J jnl
Software for Sparse Tensor Decomposition on Emerging Computing Architectures.
CoRR
Eric T. Phipps, Tamara G. Kolda
2018 J jnl
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables.
CoRR
Clifford Anderson-Bergman, Tamara G. Kolda, Kina Kincher-Winoto
2017 J jnl
A Practical Randomized CP Tensor Decomposition.
CoRR
Casey Battaglino, Grey Ballard, Tamara G. Kolda
2017 J jnl
Directed closure measures for networks with reciprocity.
J. Complex Networks
C. Seshadhri, Ali Pinar, Nurcan Durak, Tamara G. Kolda
2017 J jnl
Measuring and modeling bipartite graphs with community structure.
J. Complex Networks
Sinan G. Aksoy, Tamara G. Kolda, Ali Pinar
2017 J jnl
Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama
2016 J jnl
Measuring and Modeling Bipartite Graphs with Community Structure.
CoRR
Sinan G. Aksoy, Tamara G. Kolda, Ali Pinar
2016 A conf
Parallel Tensor Compression for Large-Scale Scientific Data.
IPDPS
Woody Austin, Grey Ballard, Tamara G. Kolda
2015 A* conf
Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search.
ICDM
Grey Ballard, Tamara G. Kolda, Ali Pinar, C. Seshadhri
2015 J jnl
Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search.
CoRR
Grey Ballard, Ali Pinar, Tamara G. Kolda, C. Seshadhri
2015 J jnl
Newton-based optimization for Kullback-Leibler nonnegative tensor factorizations.
Optim. Methods Softw.
Samantha Hansen, Todd D. Plantenga, Tamara G. Kolda
2015 J jnl
Numerical optimization for symmetric tensor decomposition.
Math. Program.
Tamara G. Kolda
2015 J jnl
Parallel Tensor Compression for Large-Scale Scientific Data.
CoRR
Woody Austin, Grey Ballard, Tamara G. Kolda
2015 J jnl
Symmetric Orthogonal Tensor Decomposition is Trivial.
CoRR
Tamara G. Kolda
2015 J jnl
Triangular Alignment (TAME): A Tensor-based Approach for Higher-order Network Alignment.
CoRR
Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama
2014 J jnl
A Scalable Generative Graph Model with Community Structure.
SIAM J. Sci. Comput.
Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri
2014 J jnl
Accelerating Community Detection by Using K-core Subgraphs.
CoRR
Chengbin Peng, Tamara G. Kolda, Ali Pinar
2014 J jnl
An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs.
SIAM J. Matrix Anal. Appl.
Tamara G. Kolda, Jackson R. Mayo
2014 J jnl
Counting Triangles in Massive Graphs with MapReduce.
SIAM J. Sci. Comput.
Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri, Christine Task
2014 J jnl
Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors.
SIAM J. Sci. Comput.
Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda
2014 J jnl
Numerical Optimization for Symmetric Tensor Decomposition.
CoRR
Tamara G. Kolda
2014 J jnl
Special Section on Two Themes: Planet Earth and Big Data.
SIAM J. Sci. Comput.
Tamara G. Kolda, Irad Yaneh
2014 J jnl
Using Triangles to Improve Community Detection in Directed Networks.
CoRR
Christine Klymko, David F. Gleich, Tamara G. Kolda
2014 J jnl
Wedge sampling for computing clustering coefficients and triangle counts on large graphs.
Stat. Anal. Data Min.
C. Seshadhri, Ali Pinar, Tamara G. Kolda
2013 J jnl
A Scalable Generative Graph Model with Community Structure
CoRR
Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri
2013 — conf
A scalable null model for directed graphs matching all degree distributions: In, out, and reciprocal.
NSW
Nurcan Durak, Tamara G. Kolda, Ali Pinar, C. Seshadhri
2013 J jnl
An in-depth analysis of stochastic Kronecker graphs.
J. ACM
C. Seshadhri, Ali Pinar, Tamara G. Kolda
2013 J jnl
Counting Triangles in Massive Graphs with MapReduce
CoRR
Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri, Christine Task
2013 B conf
Dynamics of trust reciprocation in multi-relational networks.
ASONAM
Ayush Singhal, Karthik Subbian, Jaideep Srivastava, Tamara G. Kolda, Ali Pinar
2013 J jnl
Exploiting Symmetry in Tensors for High Performance
CoRR
Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda
2013 J jnl
Newton-Based Optimization for Nonnegative Tensor Factorizations
CoRR
Samantha Hansen, Todd D. Plantenga, Tamara G. Kolda
2013 J jnl
On Reciprocity in Massively Multi-player Online Game Networks
CoRR
Karthik Subbian, Ayush Singhal, Tamara G. Kolda, Ali Pinar, Jaideep Srivastava
2013 J jnl
The importance of directed triangles with reciprocity: patterns and algorithms
CoRR
C. Seshadhri, Ali Pinar, Nurcan Durak, Tamara G. Kolda
2013 A conf
Triadic Measures on Graphs: The Power of Wedge Sampling.
SDM
Tamara G. Kolda, Ali Pinar, C. Seshadhri
2013 J jnl
Wedge Sampling for Computing Clustering Coefficients and Triangle Counts on Large Graphs.
CoRR
C. Seshadhri, Ali Pinar, Tamara G. Kolda
2012 J jnl
A scalable directed graph model with reciprocal edges
CoRR
Nurcan Durak, Tamara G. Kolda, Ali Pinar, C. Seshadhri
2012 J jnl
Degree Relations of Triangles in Real-world Networks and Models
CoRR
Nurcan Durak, Ali Pinar, Tamara G. Kolda, C. Seshadhri
2012 A conf
Degree relations of triangles in real-world networks and graph models.
CIKM
Nurcan Durak, Ali Pinar, Tamara G. Kolda, C. Seshadhri
2012 J jnl
Fast Triangle Counting through Wedge Sampling
CoRR
C. Seshadhri, Ali Pinar, Tamara G. Kolda
2012 J jnl
On Tensors, Sparsity, and Nonnegative Factorizations.
SIAM J. Matrix Anal. Appl.
Eric C. Chi, Tamara G. Kolda
2012 A conf
The Similarity Between Stochastic Kronecker and Chung-Lu Graph Models.
SDM
C. Seshadhri, Ali Pinar, Tamara G. Kolda
2011 J jnl
A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs
CoRR
C. Seshadhri, Ali Pinar, Tamara G. Kolda
2011 J jnl
All-at-once Optimization for Coupled Matrix and Tensor Factorizations
CoRR
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy
2011 A* conf
An In-depth Study of Stochastic Kronecker Graphs.
ICDM
C. Seshadhri, Ali Pinar, Tamara G. Kolda
2011 J jnl
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data
CoRR
Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer
2011 A* conf
COMET: A Recipe for Learning and Using Large Ensembles on Massive Data.
ICDM
Justin D. Basilico, M. Arthur Munson, Tamara G. Kolda, Kevin R. Dixon, W. Philip Kegelmeyer
2011 J jnl
Community structure and scale-free collections of Erdös-Rényi graphs
CoRR
C. Seshadhri, Tamara G. Kolda, Ali Pinar
2011 — conf
Efficiently Computing Tensor Eigenvalues on a GPU.
IPDPS Workshops
Grey Ballard, Tamara G. Kolda, Todd D. Plantenga
2011 — ch.
Multilinear Algebra for Analyzing Data with Multiple Linkages.
Graph Algorithms in the Language of Linear Algebra
Daniel M. Dunlavy, Tamara G. Kolda, W. Philip Kegelmeyer
2011 J jnl
Shifted Power Method for Computing Tensor Eigenpairs.
SIAM J. Matrix Anal. Appl.
Tamara G. Kolda, Jackson R. Mayo
2011 J jnl
Temporal Link Prediction Using Matrix and Tensor Factorizations.
ACM Trans. Knowl. Discov. Data
Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
2011 J jnl
The Similarity between Stochastic Kronecker and Chung-Lu Graph Models
CoRR
Ali Pinar, C. Seshadhri, Tamara G. Kolda
2010 J jnl
Asynchronous parallel hybrid optimization combining DIRECT and GSS.
Optim. Methods Softw.
Joshua D. Griffin, Tamara G. Kolda
2010 J jnl
Scalable Tensor Factorizations for Incomplete Data
CoRR
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup
2010 A conf
Scalable Tensor Factorizations with Missing Data.
SDM
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup
2010 J jnl
Temporal Link Prediction using Matrix and Tensor Factorizations
CoRR
Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar
2009 — conf
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations.
ICDM Workshops
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
2009 J jnl
Tensor Decompositions and Applications.
SIAM Rev.
Tamara G. Kolda, Brett W. Bader
2008 J jnl
Asynchronous Parallel Generating Set Search for Linearly Constrained Optimization.
SIAM J. Sci. Comput.
Joshua D. Griffin, Tamara G. Kolda, Robert Michael Lewis
2008 A* conf
Scalable Tensor Decompositions for Multi-aspect Data Mining.
ICDM
Tamara G. Kolda, Jimeng Sun
2007 A* conf
Cross-language information retrieval using PARAFAC2.
KDD
Peter A. Chew, Brett W. Bader, Tamara G. Kolda, Ahmed Abdelali
2007 J jnl
Efficient MATLAB Computations with Sparse and Factored Tensors.
SIAM J. Sci. Comput.
Brett W. Bader, Tamara G. Kolda
2007 — conf
Mining large graphs and streams using matrix and tensor tools.
SIGMOD Conference
Christos Faloutsos, Tamara G. Kolda, Jimeng Sun
2007 A* conf
Temporal Analysis of Semantic Graphs Using ASALSAN.
ICDM
Brett W. Bader, Richard A. Harshman, Tamara G. Kolda
2006 — conf
A Parallel, Asynchronous Method for Derivative-Free Nonlinear Programs.
ICMS
Joshua D. Griffin, Tamara G. Kolda
2006 J jnl
Algorithm 856: APPSPACK 4.0: asynchronous parallel pattern search for derivative-free optimization.
ACM Trans. Math. Softw.
Genetha Anne Gray, Tamara G. Kolda
2006 J jnl
Algorithm 862: MATLAB tensor classes for fast algorithm prototyping.
ACM Trans. Math. Softw.
Brett W. Bader, Tamara G. Kolda
2006 J jnl
Stationarity Results for Generating Set Search for Linearly Constrained Optimization.
SIAM J. Optim.
Tamara G. Kolda, Robert Michael Lewis, Virginia Torczon
2005 J jnl
An overview of the Trilinos project.
ACM Trans. Math. Softw.
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
2005 A* conf
Higher-Order Web Link Analysis Using Multilinear Algebra.
ICDM
Tamara G. Kolda, Brett W. Bader, Joseph P. Kenny
2005 J jnl
Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization.
SIAM J. Optim.
Tamara G. Kolda
2004 J jnl
On the Convergence of Asynchronous Parallel Pattern Search.
SIAM J. Optim.
Tamara G. Kolda, Virginia Torczon
2004 J jnl
Optimizing an Empirical Scoring Function for Transmembrane Protein Structure Determination.
INFORMS J. Comput.
Genetha Anne Gray, Tamara G. Kolda, Ken Sale, Malin M. Young
2003 J jnl
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.
Tamara G. Kolda
2003 J jnl
Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods.
SIAM Rev.
Tamara G. Kolda, Robert Michael Lewis, Virginia Torczon
2001 J jnl
Asynchronous Parallel Pattern Search for Nonlinear Optimization.
SIAM J. Sci. Comput.
Patricia D. Hough, Tamara G. Kolda, Virginia Torczon
2001 B conf
Hidden Markov Models for Chromosome Identification.
CBMS
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
2001 J jnl
Orthogonal Tensor Decompositions.
SIAM J. Matrix Anal. Appl.
Tamara G. Kolda
2000 J jnl
Algorithm 805: computation and uses of the semidiscrete matrix decomposition.
ACM Trans. Math. Softw.
Tamara G. Kolda, Dianne P. O'Leary
2000 J jnl
Graph partitioning models for parallel computing.
Parallel Comput.
Bruce Hendrickson, Tamara G. Kolda
2000 J jnl
Partitioning Rectangular and Structurally Unsymmetric Sparse Matrices for Parallel Processing.
SIAM J. Sci. Comput.
Bruce Hendrickson, Tamara G. Kolda
1998 J jnl
A Semidiscrete Matrix Decomposition for Latent Semantic Indexing Information Retrieval.
ACM Trans. Inf. Syst.
Tamara G. Kolda, Dianne P. O'Leary
1998 J jnl
BFGS with Update Skipping and Varying Memory.
SIAM J. Optim.
Tamara G. Kolda, Dianne P. O'Leary, Larry Nazareth
1998 — conf
Partitioning Rectangular Matrices for Parallel Processing.
IRREGULAR
Tamara G. Kolda
1998 — conf
Partitioning Sparse Rectangular Matrices for Parallel Computations of
PARA
Bruce Hendrickson, Tamara G. Kolda