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Tamara G. Kolda
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2020 – today
- 2023
- [c23]Rachel A. Ward, Tamara G. Kolda:
Convergence of Alternating Gradient Descent for Matrix Factorization. NeurIPS 2023 - [c22]Eric T. Phipps
, Nicholas T. Johnson
, Tamara G. Kolda
:
Streaming Generalized Canonical Polyadic Tensor Decompositions. PASC 2023: 6:1-6:10 - [i40]Rachel A. Ward, Tamara G. Kolda:
Convergence of Alternating Gradient Descent for Matrix Factorization. CoRR abs/2305.06927 (2023) - 2022
- [j44]Brett W. Larsen
, Tamara G. Kolda
:
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. SIAM J. Matrix Anal. Appl. 43(3): 1488-1517 (2022) - [i39]Brett W. Larsen, Tamara G. Kolda:
Sketching Matrix Least Squares via Leverage Scores Estimates. CoRR abs/2201.10638 (2022) - [i38]João M. Pereira, Joe Kileel, Tamara G. Kolda:
Tensor Moments of Gaussian Mixture Models: Theory and Applications. CoRR abs/2202.06930 (2022) - [i37]Ruhui Jin, Joe Kileel, Tamara G. Kolda, Rachel A. Ward:
Scalable symmetric Tucker tensor decomposition. CoRR abs/2204.10824 (2022) - 2021
- [i36]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:
Randomized Algorithms for Scientific Computing (RASC). CoRR abs/2104.11079 (2021) - [i35]Eric T. Phipps, Nick Johnson, Tamara G. Kolda:
Streaming Generalized Canonical Polyadic Tensor Decompositions. CoRR abs/2110.14514 (2021) - 2020
- [j43]Samantha Sherman, Tamara G. Kolda
:
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition. SIAM J. Matrix Anal. Appl. 41(3): 1369-1387 (2020) - [j42]David Hong
, Tamara G. Kolda
, Jed A. Duersch
:
Generalized Canonical Polyadic Tensor Decomposition. SIAM Rev. 62(1): 133-163 (2020) - [j41]Tamara G. Kolda
, David Hong
:
Stochastic Gradients for Large-Scale Tensor Decomposition. SIAM J. Math. Data Sci. 2(4): 1066-1095 (2020) - [j40]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): 13:1-13:31 (2020) - [i34]Brett W. Larsen, Tamara G. Kolda:
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. CoRR abs/2006.16438 (2020)
2010 – 2019
- 2019
- [j39]Eric T. Phipps
, Tamara G. Kolda
:
Software for Sparse Tensor Decomposition on Emerging Computing Architectures. SIAM J. Sci. Comput. 41(3): C269-C290 (2019) - [j38]Tamara G. Kolda:
Introduction to SIAM Journal on Mathematics of Data Science (SIMODS). SIAM J. Math. Data Sci. 1(1): 1-7 (2019) - [i33]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 abs/1901.06043 (2019) - [i32]Tamara G. Kolda, David Hong:
Stochastic Gradients for Large-Scale Tensor Decomposition. CoRR abs/1906.01687 (2019) - [i31]Ruhui Jin, Tamara G. Kolda, Rachel A. Ward:
Faster Johnson-Lindenstrauss Transforms via Kronecker Products. CoRR abs/1909.04801 (2019) - [i30]Samantha Sherman, Tamara G. Kolda:
Estimating Higher-Order Moments Using Symmetric Tensor Decomposition. CoRR abs/1911.03813 (2019) - 2018
- [j37]Kenny Chowdhary, Tamara G. Kolda
:
An improved hyperbolic embedding algorithm. J. Complex Networks 6(3): 321-341 (2018) - [j36]Casey Battaglino, Grey Ballard
, Tamara G. Kolda
:
A Practical Randomized CP Tensor Decomposition. SIAM J. Matrix Anal. Appl. 39(2): 876-901 (2018) - [i29]David Hong, Tamara G. Kolda, Jed A. Duersch
:
Generalized Canonical Polyadic Tensor Decomposition. CoRR abs/1808.07452 (2018) - [i28]Clifford Anderson-Bergman, Tamara G. Kolda, Kina Kincher-Winoto:
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables. CoRR abs/1808.07510 (2018) - [i27]Eric T. Phipps, Tamara G. Kolda:
Software for Sparse Tensor Decomposition on Emerging Computing Architectures. CoRR abs/1809.09175 (2018) - 2017
- [j35]C. Seshadhri, Ali Pinar, Nurcan Durak, Tamara G. Kolda
:
Directed closure measures for networks with reciprocity. J. Complex Networks 5(1): 32-47 (2017) - [j34]Sinan Aksoy
, Tamara G. Kolda
, Ali Pinar:
Measuring and modeling bipartite graphs with community structure. J. Complex Networks 5(4): 581-603 (2017) - [j33]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): 1446-1458 (2017) - [i26]Casey Battaglino, Grey Ballard, Tamara G. Kolda:
A Practical Randomized CP Tensor Decomposition. CoRR abs/1701.06600 (2017) - 2016
- [c21]Woody Austin, Grey Ballard
, Tamara G. Kolda
:
Parallel Tensor Compression for Large-Scale Scientific Data. IPDPS 2016: 912-922 - [i25]Sinan Aksoy, Tamara G. Kolda
, Ali Pinar:
Measuring and Modeling Bipartite Graphs with Community Structure. CoRR abs/1607.08673 (2016) - 2015
- [j32]Tamara G. Kolda
:
Numerical optimization for symmetric tensor decomposition. Math. Program. 151(1): 225-248 (2015) - [j31]Samantha Hansen, Todd D. Plantenga, Tamara G. Kolda
:
Newton-based optimization for Kullback-Leibler nonnegative tensor factorizations. Optim. Methods Softw. 30(5): 1002-1029 (2015) - [c20]Grey Ballard
, Tamara G. Kolda
, Ali Pinar, C. Seshadhri:
Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search. ICDM 2015: 11-20 - [i24]Tamara G. Kolda:
Symmetric Orthogonal Tensor Decomposition is Trivial. CoRR abs/1503.01375 (2015) - [i23]Grey Ballard, Ali Pinar, Tamara G. Kolda
, C. Seshadhri:
Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search. CoRR abs/1506.03872 (2015) - [i22]Shahin Mohammadi, David F. Gleich, Tamara G. Kolda
, Ananth Grama:
Triangular Alignment (TAME): A Tensor-based Approach for Higher-order Network Alignment. CoRR abs/1510.06482 (2015) - [i21]Woody Austin, Grey Ballard, Tamara G. Kolda
:
Parallel Tensor Compression for Large-Scale Scientific Data. CoRR abs/1510.06689 (2015) - 2014
- [j30]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): 294-307 (2014) - [j29]Tamara G. Kolda
, Jackson R. Mayo:
An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs. SIAM J. Matrix Anal. Appl. 35(4): 1563-1581 (2014) - [j28]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) - [j27]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) - [j26]Tamara G. Kolda, Irad Yaneh:
Special Section on Two Themes: Planet Earth and Big Data. SIAM J. Sci. Comput. 36(5) (2014) - [j25]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) - [i20]Chengbin Peng, Tamara G. Kolda, Ali Pinar:
Accelerating Community Detection by Using K-core Subgraphs. CoRR abs/1403.2226 (2014) - [i19]Christine Klymko, David F. Gleich, Tamara G. Kolda:
Using Triangles to Improve Community Detection in Directed Networks. CoRR abs/1404.5874 (2014) - [i18]Tamara G. Kolda
:
Numerical Optimization for Symmetric Tensor Decomposition. CoRR abs/1410.4536 (2014) - 2013
- [j24]C. Seshadhri, Ali Pinar, Tamara G. Kolda
:
An in-depth analysis of stochastic Kronecker graphs. J. ACM 60(2): 13:1-13:32 (2013) - [c19]Ayush Singhal, Karthik Subbian, Jaideep Srivastava
, Tamara G. Kolda
, Ali Pinar:
Dynamics of trust reciprocation in multi-relational networks. ASONAM 2013: 661-665 - [c18]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: 23-30 - [c17]Tamara G. Kolda
, Ali Pinar, C. Seshadhri:
Triadic Measures on Graphs: The Power of Wedge Sampling. SDM 2013: 10-18 - [i17]Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri, Christine Task:
Counting Triangles in Massive Graphs with MapReduce. CoRR abs/1301.5887 (2013) - [i16]Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, Tamara G. Kolda:
Exploiting Symmetry in Tensors for High Performance. CoRR abs/1301.7744 (2013) - [i15]C. Seshadhri, Ali Pinar, Nurcan Durak, Tamara G. Kolda
:
The importance of directed triangles with reciprocity: patterns and algorithms. CoRR abs/1302.6220 (2013) - [i14]Tamara G. Kolda, Ali Pinar, Todd D. Plantenga, C. Seshadhri:
A Scalable Generative Graph Model with Community Structure. CoRR abs/1302.6636 (2013) - [i13]Karthik Subbian, Ayush Singhal, Tamara G. Kolda, Ali Pinar, Jaideep Srivastava:
On Reciprocity in Massively Multi-player Online Game Networks. CoRR abs/1303.6385 (2013) - [i12]Samantha Hansen, Todd D. Plantenga, Tamara G. Kolda
:
Newton-Based Optimization for Nonnegative Tensor Factorizations. CoRR abs/1304.4964 (2013) - [i11]C. Seshadhri, Ali Pinar, Tamara G. Kolda
:
Wedge Sampling for Computing Clustering Coefficients and Triangle Counts on Large Graphs. CoRR abs/1309.3321 (2013) - 2012
- [j23]Eric C. Chi
, Tamara G. Kolda
:
On Tensors, Sparsity, and Nonnegative Factorizations. SIAM J. Matrix Anal. Appl. 33(4): 1272-1299 (2012) - [c16]Nurcan Durak, Ali Pinar, Tamara G. Kolda
, C. Seshadhri:
Degree relations of triangles in real-world networks and graph models. CIKM 2012: 1712-1716 - [c15]C. Seshadhri, Ali Pinar, Tamara G. Kolda
:
The Similarity Between Stochastic Kronecker and Chung-Lu Graph Models. SDM 2012: 1071-1082 - [i10]C. Seshadhri, Ali Pinar, Tamara G. Kolda:
Fast Triangle Counting through Wedge Sampling. CoRR abs/1202.5230 (2012) - [i9]Nurcan Durak, Ali Pinar, Tamara G. Kolda, C. Seshadhri:
Degree Relations of Triangles in Real-world Networks and Models. CoRR abs/1207.7125 (2012) - [i8]Nurcan Durak, Tamara G. Kolda, Ali Pinar, C. Seshadhri:
A scalable directed graph model with reciprocal edges. CoRR abs/1210.5288 (2012) - 2011
- [j22]Tamara G. Kolda
, Jackson R. Mayo:
Shifted Power Method for Computing Tensor Eigenpairs. SIAM J. Matrix Anal. Appl. 32(4): 1095-1124 (2011) - [j21]Daniel M. Dunlavy, Tamara G. Kolda
, Evrim Acar
:
Temporal Link Prediction Using Matrix and Tensor Factorizations. ACM Trans. Knowl. Discov. Data 5(2): 10:1-10:27 (2011) - [c14]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: 41-50 - [c13]C. Seshadhri, Ali Pinar, Tamara G. Kolda
:
An In-depth Study of Stochastic Kronecker Graphs. ICDM 2011: 587-596 - [c12]Grey Ballard
, Tamara G. Kolda
, Todd D. Plantenga:
Efficiently Computing Tensor Eigenvalues on a GPU. IPDPS Workshops 2011: 1340-1348 - [p1]Daniel M. Dunlavy, Tamara G. Kolda, W. Philip Kegelmeyer:
Multilinear Algebra for Analyzing Data with Multiple Linkages. Graph Algorithms in the Language of Linear Algebra 2011: 85-114 - [i7]C. Seshadhri, Ali Pinar, Tamara G. Kolda:
A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs. CoRR abs/1102.5046 (2011) - [i6]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 abs/1103.2068 (2011) - [i5]Evrim Acar, Tamara G. Kolda
, Daniel M. Dunlavy:
All-at-once Optimization for Coupled Matrix and Tensor Factorizations. CoRR abs/1105.3422 (2011) - [i4]Ali Pinar, C. Seshadhri, Tamara G. Kolda:
The Similarity between Stochastic Kronecker and Chung-Lu Graph Models. CoRR abs/1110.4925 (2011) - [i3]C. Seshadhri, Tamara G. Kolda, Ali Pinar:
Community structure and scale-free collections of Erdös-Rényi graphs. CoRR abs/1112.3644 (2011) - 2010
- [j20]Joshua D. Griffin, Tamara G. Kolda
:
Asynchronous parallel hybrid optimization combining DIRECT and GSS. Optim. Methods Softw. 25(5): 797-817 (2010) - [c11]Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
, Morten Mørup
:
Scalable Tensor Factorizations with Missing Data. SDM 2010: 701-712 - [i2]Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup:
Scalable Tensor Factorizations for Incomplete Data. CoRR abs/1005.2197 (2010) - [i1]Daniel M. Dunlavy, Tamara G. Kolda, Evrim Acar:
Temporal Link Prediction using Matrix and Tensor Factorizations. CoRR abs/1005.4006 (2010)
2000 – 2009
- 2009
- [j19]Tamara G. Kolda
, Brett W. Bader:
Tensor Decompositions and Applications. SIAM Rev. 51(3): 455-500 (2009) - [c10]Evrim Acar
, Daniel M. Dunlavy, Tamara G. Kolda
:
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations. ICDM Workshops 2009: 262-269 - 2008
- [j18]Joshua D. Griffin, Tamara G. Kolda
, Robert Michael Lewis:
Asynchronous Parallel Generating Set Search for Linearly Constrained Optimization. SIAM J. Sci. Comput. 30(4): 1892-1924 (2008) - [c9]Tamara G. Kolda
, Jimeng Sun
:
Scalable Tensor Decompositions for Multi-aspect Data Mining. ICDM 2008: 363-372 - 2007
- [j17]Brett W. Bader, Tamara G. Kolda
:
Efficient MATLAB Computations with Sparse and Factored Tensors. SIAM J. Sci. Comput. 30(1): 205-231 (2007) - [c8]Brett W. Bader, Richard A. Harshman, Tamara G. Kolda
:
Temporal Analysis of Semantic Graphs Using ASALSAN. ICDM 2007: 33-42 - [c7]Peter A. Chew, Brett W. Bader, Tamara G. Kolda
, Ahmed Abdelali
:
Cross-language information retrieval using PARAFAC2. KDD 2007: 143-152 - [c6]Christos Faloutsos
, Tamara G. Kolda, Jimeng Sun
:
Mining large graphs and streams using matrix and tensor tools. SIGMOD Conference 2007: 1174 - 2006
- [j16]Tamara G. Kolda
, Robert Michael Lewis, Virginia Torczon:
Stationarity Results for Generating Set Search for Linearly Constrained Optimization. SIAM J. Optim. 17(4): 943-968 (2006) - [j15]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): 485-507 (2006) - [j14]Brett W. Bader, Tamara G. Kolda
:
Algorithm 862: MATLAB tensor classes for fast algorithm prototyping. ACM Trans. Math. Softw. 32(4): 635-653 (2006) - [c5]Joshua D. Griffin, Tamara G. Kolda:
A Parallel, Asynchronous Method for Derivative-Free Nonlinear Programs. ICMS 2006: 260-262 - 2005
- [j13]Tamara G. Kolda
:
Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization. SIAM J. Optim. 16(2): 563-586 (2005) - [j12]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): 397-423 (2005) - [c4]Tamara G. Kolda
, Brett W. Bader, Joseph P. Kenny:
Higher-Order Web Link Analysis Using Multilinear Algebra. ICDM 2005: 242-249 - 2004
- [j11]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): 406-418 (2004) - [j10]Tamara G. Kolda
, Virginia Torczon:
On the Convergence of Asynchronous Parallel Pattern Search. SIAM J. Optim. 14(4): 939-964 (2004) - 2003
- [j9]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): 762-767 (2003) - [j8]Tamara G. Kolda
, Robert Michael Lewis, Virginia Torczon:
Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods. SIAM Rev. 45(3): 385-482 (2003) - 2001
- [j7]Tamara G. Kolda
:
Orthogonal Tensor Decompositions. SIAM J. Matrix Anal. Appl. 23(1): 243-255 (2001) - [j6]Patricia D. Hough, Tamara G. Kolda
, Virginia Torczon:
Asynchronous Parallel Pattern Search for Nonlinear Optimization. SIAM J. Sci. Comput. 23(1): 134-156 (2001) - [c3]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: 473- - 2000
- [j5]Bruce Hendrickson, Tamara G. Kolda
:
Graph partitioning models for parallel computing. Parallel Comput. 26(12): 1519-1534 (2000) - [j4]Bruce Hendrickson, Tamara G. Kolda
:
Partitioning Rectangular and Structurally Unsymmetric Sparse Matrices for Parallel Processing. SIAM J. Sci. Comput. 21(6): 2048-2072 (2000) - [j3]Tamara G. Kolda
, Dianne P. O'Leary:
Algorithm 805: computation and uses of the semidiscrete matrix decomposition. ACM Trans. Math. Softw. 26(3): 415-435 (2000)
1990 – 1999
- 1998
- [j2]Tamara G. Kolda
, Dianne P. O'Leary, Larry Nazareth:
BFGS with Update Skipping and Varying Memory. SIAM J. Optim. 8(4): 1060-1083 (1998) - [j1]Tamara G. Kolda
, Dianne P. O'Leary:
A Semidiscrete Matrix Decomposition for Latent Semantic Indexing Information Retrieval. ACM Trans. Inf. Syst. 16(4): 322-346 (1998) - [c2]Tamara G. Kolda
:
Partitioning Rectangular Matrices for Parallel Processing. IRREGULAR 1998: 68-79 - [c1]Bruce Hendrickson, Tamara G. Kolda
:
Partitioning Sparse Rectangular Matrices for Parallel Computations of Ax and ATv. PARA 1998: 239-247
Coauthor Index
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