Partitioning Rectangular Matrices for Parallel Processing. - Tamara G. Kolda (IRREGULAR, 1998)

Partitioning Sparse Rectangular Matrices for Parallel Computations of Ax and ATv. - Bruce Hendrickson; Tamara G. Kolda (PARA, 1998)

BFGS with Update Skipping and Varying Memory. - Tamara G. Kolda; Dianne P. O'Leary; Larry Nazareth (SIAM J. Optim., 1998)

A Semidiscrete Matrix Decomposition for Latent Semantic Indexing Information Retrieval. - Tamara G. Kolda; Dianne P. O'Leary (ACM Trans. Inf. Syst., 1998)

Graph partitioning models for parallel computing. - Bruce Hendrickson; Tamara G. Kolda (Parallel Comput., 2000)

Partitioning Rectangular and Structurally Unsymmetric Sparse Matrices for Parallel Processing. - Bruce Hendrickson; Tamara G. Kolda (SIAM J. Sci. Comput., 2000)

Algorithm 805: computation and uses of the semidiscrete matrix decomposition. - Tamara G. Kolda; Dianne P. O'Leary (ACM Trans. Math. Softw., 2000)

Hidden Markov Models for Chromosome Identification. - 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 (CBMS, 2001)

Orthogonal Tensor Decompositions. - Tamara G. Kolda (SIAM J. Matrix Anal. Appl., 2001)

Asynchronous Parallel Pattern Search for Nonlinear Optimization. - Patricia D. Hough; Tamara G. Kolda; Virginia Torczon (SIAM J. Sci. Comput., 2001)

A Counterexample to the Possibility of an Extension of the Eckart-Young Low-Rank Approximation Theorem for the Orthogonal Rank Tensor Decomposition. - Tamara G. Kolda (SIAM J. Matrix Anal. Appl., 2003)

Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods. - Tamara G. Kolda; Robert Michael Lewis; Virginia Torczon (SIAM Rev., 2003)

Optimizing an Empirical Scoring Function for Transmembrane Protein Structure Determination. - Genetha Anne Gray; Tamara G. Kolda; Ken Sale; Malin M. Young (INFORMS J. Comput., 2004)

On the Convergence of Asynchronous Parallel Pattern Search. - Tamara G. Kolda; Virginia Torczon (SIAM J. Optim., 2004)

Higher-Order Web Link Analysis Using Multilinear Algebra. - Tamara G. Kolda; Brett W. Bader; Joseph P. Kenny (ICDM, 2005)

Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization. - Tamara G. Kolda (SIAM J. Optim., 2005)

An overview of the Trilinos project. - 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; et al. (ACM Trans. Math. Softw., 2005)

A Parallel, Asynchronous Method for Derivative-Free Nonlinear Programs. - Joshua D. Griffin; Tamara G. Kolda (ICMS, 2006)

Stationarity Results for Generating Set Search for Linearly Constrained Optimization. - Tamara G. Kolda; Robert Michael Lewis; Virginia Torczon (SIAM J. Optim., 2006)

Algorithm 862: MATLAB tensor classes for fast algorithm prototyping. - Brett W. Bader; Tamara G. Kolda (ACM Trans. Math. Softw., 2006)

Algorithm 856: APPSPACK 4.0: asynchronous parallel pattern search for derivative-free optimization. - Genetha Anne Gray; Tamara G. Kolda (ACM Trans. Math. Softw., 2006)

Temporal Analysis of Semantic Graphs Using ASALSAN. - Brett W. Bader; Richard A. Harshman; Tamara G. Kolda (ICDM, 2007)

Cross-language information retrieval using PARAFAC2. - Peter A. Chew; Brett W. Bader; Tamara G. Kolda; Ahmed Abdelali (KDD, 2007)

Mining large graphs and streams using matrix and tensor tools. - Christos Faloutsos; Tamara G. Kolda; Jimeng Sun 001 (SIGMOD Conference, 2007)

Efficient MATLAB Computations with Sparse and Factored Tensors. - Brett W. Bader; Tamara G. Kolda (SIAM J. Sci. Comput., 2007)

Scalable Tensor Decompositions for Multi-aspect Data Mining. - Tamara G. Kolda; Jimeng Sun 001 (ICDM, 2008)

Asynchronous Parallel Generating Set Search for Linearly Constrained Optimization. - Joshua D. Griffin; Tamara G. Kolda; Robert Michael Lewis (SIAM J. Sci. Comput., 2008)

Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. - Evrim Acar; Daniel M. Dunlavy; Tamara G. Kolda (ICDM Workshops, 2009)

Tensor Decompositions and Applications. - Tamara G. Kolda; Brett W. Bader (SIAM Rev., 2009)

Scalable Tensor Factorizations with Missing Data. - Evrim Acar; Daniel M. Dunlavy; Tamara G. Kolda; Morten Mørup (SDM, 2010)

Scalable Tensor Factorizations for Incomplete Data - Evrim Acar; Tamara G. Kolda; Daniel M. Dunlavy; Morten Mørup (CoRR, 2010)

Asynchronous parallel hybrid optimization combining DIRECT and GSS. - Joshua D. Griffin; Tamara G. Kolda (Optim. Methods Softw., 2010)

Multilinear Algebra for Analyzing Data with Multiple Linkages. - Daniel M. Dunlavy; Tamara G. Kolda; W. Philip Kegelmeyer (Graph Algorithms in the Language of Linear Algebra, 2011)

COMET: A Recipe for Learning and Using Large Ensembles on Massive Data. - Justin D. Basilico; M. Arthur Munson; Tamara G. Kolda; Kevin R. Dixon; W. Philip Kegelmeyer (ICDM, 2011)

An In-depth Study of Stochastic Kronecker Graphs. - C. Seshadhri 001; Ali Pinar; Tamara G. Kolda (ICDM, 2011)

Efficiently Computing Tensor Eigenvalues on a GPU. - Grey Ballard; Tamara G. Kolda; Todd D. Plantenga (IPDPS Workshops, 2011)

A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs - C. Seshadhri 001; Ali Pinar; Tamara G. Kolda (CoRR, 2011)

All-at-once Optimization for Coupled Matrix and Tensor Factorizations - Evrim Acar; Tamara G. Kolda; Daniel M. Dunlavy (CoRR, 2011)

Community structure and scale-free collections of Erdös-Rényi graphs - C. Seshadhri 001; Tamara G. Kolda; Ali Pinar (CoRR, 2011)

Shifted Power Method for Computing Tensor Eigenpairs. - Tamara G. Kolda; Jackson R. Mayo (SIAM J. Matrix Anal. Appl., 2011)

Temporal Link Prediction Using Matrix and Tensor Factorizations. - Daniel M. Dunlavy; Tamara G. Kolda; Evrim Acar (ACM Trans. Knowl. Discov. Data, 2011)

Degree relations of triangles in real-world networks and graph models. - Nurcan Durak; Ali Pinar; Tamara G. Kolda; C. Seshadhri 001 (CIKM, 2012)

The Similarity Between Stochastic Kronecker and Chung-Lu Graph Models. - C. Seshadhri 001; Ali Pinar; Tamara G. Kolda (SDM, 2012)

Fast Triangle Counting through Wedge Sampling - C. Seshadhri 001; Ali Pinar; Tamara G. Kolda (CoRR, 2012)

Degree Relations of Triangles in Real-world Networks and Models - Nurcan Durak; Ali Pinar; Tamara G. Kolda; C. Seshadhri 001 (CoRR, 2012)

A scalable directed graph model with reciprocal edges - Nurcan Durak; Tamara G. Kolda; Ali Pinar; C. Seshadhri 001 (CoRR, 2012)

On Tensors, Sparsity, and Nonnegative Factorizations. - Eric C. Chi; Tamara G. Kolda (SIAM J. Matrix Anal. Appl., 2012)

Dynamics of trust reciprocation in multi-relational networks. - Ayush Singhal; Karthik Subbian; Jaideep Srivastava; Tamara G. Kolda; Ali Pinar (ASONAM, 2013)

A scalable null model for directed graphs matching all degree distributions: In, out, and reciprocal. - Nurcan Durak; Tamara G. Kolda; Ali Pinar; C. Seshadhri 001 (NSW, 2013)

Triadic Measures on Graphs: The Power of Wedge Sampling. - Tamara G. Kolda; Ali Pinar; C. Seshadhri 001 (SDM, 2013)

Exploiting Symmetry in Tensors for High Performance - Martin D. Schatz; Tze Meng Low; Robert A. van de Geijn; Tamara G. Kolda (CoRR, 2013)

The importance of directed triangles with reciprocity: patterns and algorithms - C. Seshadhri 001; Ali Pinar; Nurcan Durak; Tamara G. Kolda (CoRR, 2013)

On Reciprocity in Massively Multi-player Online Game Networks - Karthik Subbian; Ayush Singhal; Tamara G. Kolda; Ali Pinar; Jaideep Srivastava (CoRR, 2013)

Newton-Based Optimization for Nonnegative Tensor Factorizations - Samantha Hansen; Todd D. Plantenga; Tamara G. Kolda (CoRR, 2013)

An in-depth analysis of stochastic Kronecker graphs. - C. Seshadhri 001; Ali Pinar; Tamara G. Kolda (J. ACM, 2013)

Using Triangles to Improve Community Detection in Directed Networks. - Christine Klymko; David F. Gleich; Tamara G. Kolda (CoRR, 2014)

Accelerating Community Detection by Using K-core Subgraphs. - Chengbin Peng; Tamara G. Kolda; Ali Pinar (CoRR, 2014)

Wedge sampling for computing clustering coefficients and triangle counts on large graphs. - C. Seshadhri 001; Ali Pinar; Tamara G. Kolda (Stat. Anal. Data Min., 2014)

An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs. - Tamara G. Kolda; Jackson R. Mayo (SIAM J. Matrix Anal. Appl., 2014)

A Scalable Generative Graph Model with Community Structure. - Tamara G. Kolda; Ali Pinar; Todd D. Plantenga; C. Seshadhri 001 (SIAM J. Sci. Comput., 2014)

Counting Triangles in Massive Graphs with MapReduce. - Tamara G. Kolda; Ali Pinar; Todd D. Plantenga; C. Seshadhri 001; Christine Task (SIAM J. Sci. Comput., 2014)

Special Section on Two Themes: Planet Earth and Big Data. - Tamara G. Kolda; Irad Yaneh (SIAM J. Sci. Comput., 2014)

Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors. - Martin D. Schatz; Tze Meng Low; Robert A. van de Geijn; Tamara G. Kolda (SIAM J. Sci. Comput., 2014)

Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search. - Grey Ballard; Tamara G. Kolda; Ali Pinar; C. Seshadhri 001 (ICDM, 2015)

Symmetric Orthogonal Tensor Decomposition is Trivial. - Tamara G. Kolda (CoRR, 2015)

Numerical optimization for symmetric tensor decomposition. - Tamara G. Kolda (Math. Program., 2015)

Newton-based optimization for Kullback-Leibler nonnegative tensor factorizations. - Samantha Hansen; Todd D. Plantenga; Tamara G. Kolda (Optim. Methods Softw., 2015)

Parallel Tensor Compression for Large-Scale Scientific Data. - Woody Austin; Grey Ballard; Tamara G. Kolda (IPDPS, 2016)

Measuring and modeling bipartite graphs with community structure. - Sinan Aksoy; Tamara G. Kolda; Ali Pinar (J. Complex Networks, 2017)

Directed closure measures for networks with reciprocity. - C. Seshadhri 001; Ali Pinar; Nurcan Durak; Tamara G. Kolda (J. Complex Networks, 2017)

Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment. - Shahin Mohammadi; David F. Gleich; Tamara G. Kolda; Ananth Grama (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

An improved hyperbolic embedding algorithm. - Kenny Chowdhary; Tamara G. Kolda (J. Complex Networks, 2018)

XPCA: Extending PCA for a Combination of Discrete and Continuous Variables. - Clifford Anderson-Bergman; Tamara G. Kolda; Kina Kincher-Winoto (CoRR, 2018)

A Practical Randomized CP Tensor Decomposition. - Casey Battaglino; Grey Ballard; Tamara G. Kolda (SIAM J. Matrix Anal. Appl., 2018)

Faster Johnson-Lindenstrauss Transforms via Kronecker Products. - Ruhui Jin; Tamara G. Kolda; Rachel A. Ward (CoRR, 2019)

Software for Sparse Tensor Decomposition on Emerging Computing Architectures. - Eric T. Phipps; Tamara G. Kolda (SIAM J. Sci. Comput., 2019)

Introduction to SIAM Journal on Mathematics of Data Science (SIMODS). - Tamara G. Kolda (SIAM J. Math. Data Sci., 2019)

Estimating Higher-Order Moments Using Symmetric Tensor Decomposition. - Samantha Sherman; Tamara G. Kolda (SIAM J. Matrix Anal. Appl., 2020)

Generalized Canonical Polyadic Tensor Decomposition. - David Hong; Tamara G. Kolda; Jed A. Duersch (SIAM Rev., 2020)

Stochastic Gradients for Large-Scale Tensor Decomposition. - Tamara G. Kolda; David Hong (SIAM J. Math. Data Sci., 2020)

TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition. - Grey Ballard; Alicia M. Klinvex; Tamara G. Kolda (ACM Trans. Math. Softw., 2020)

Randomized Algorithms for Scientific Computing (RASC). - Aydin Buluç; Tamara G. Kolda; Stefan M. Wild; Mihai Anitescu; Anthony M. DeGennaro; John Jakeman; Chandrika Kamath 001; Ramakrishnan Kannan; Miles E. Lopes; Per-Gunnar Martinsson; Kary L. Myers; Jelani Nelson; et al. (CoRR, 2021)

Streaming Generalized Canonical Polyadic Tensor Decompositions. - Eric T. Phipps; Nick Johnson; Tamara G. Kolda (CoRR, 2021)

Sketching Matrix Least Squares via Leverage Scores Estimates. - Brett W. Larsen; Tamara G. Kolda (CoRR, 2022)

Tensor Moments of Gaussian Mixture Models: Theory and Applications. - João M. Pereira 002; Joe Kileel 001; Tamara G. Kolda (CoRR, 2022)

Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. - Brett W. Larsen; Tamara G. Kolda (SIAM J. Matrix Anal. Appl., 2022)

Convergence of Alternating Gradient Descent for Matrix Factorization. - Rachel A. Ward; Tamara G. Kolda (NeurIPS, 2023)

Streaming Generalized Canonical Polyadic Tensor Decompositions. - Eric T. Phipps; Nicholas T. Johnson; Tamara G. Kolda (PASC, 2023)

Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data. - Brett W. Larsen; Tamara G. Kolda; Anru R. Zhang; Alex H. Williams (CoRR, 2024)

Tensor Decomposition with Unaligned Observations. - Runshi Tang; Tamara G. Kolda; Anru R. Zhang (CoRR, 2024)

Scalable Symmetric Tucker Tensor Decomposition. - Ruhui Jin; Joe Kileel 001; Tamara G. Kolda; Rachel A. Ward (SIAM J. Matrix Anal. Appl., 2024)

The Fascinating World of 2 ⨉ 2 ⨉ 2 Tensors: Its Geometry and Optimization Challenges. - Gabriel H. Brown; Joe Kileel 001; Tamara G. Kolda (CoRR, 2025)