Tamara G. Kolda

Orcid: 0000-0003-4176-2493

According to our database1, Tamara G. Kolda authored at least 89 papers between 1998 and 2023.

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Awards

ACM Fellow

ACM Fellow 2019, "For innovations in algorithms for tensor decompositions, contributions to data science, and community leadership ".

Timeline

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Bibliography

2023
Streaming Generalized Canonical Polyadic Tensor Decompositions.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Convergence of Alternating Gradient Descent for Matrix Factorization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition.
SIAM J. Matrix Anal. Appl., September, 2022

Scalable symmetric Tucker tensor decomposition.
CoRR, 2022

Tensor Moments of Gaussian Mixture Models: Theory and Applications.
CoRR, 2022

Sketching Matrix Least Squares via Leverage Scores Estimates.
CoRR, 2022

2021
Streaming Generalized Canonical Polyadic Tensor Decompositions.
CoRR, 2021

Randomized Algorithms for Scientific Computing (RASC).
CoRR, 2021

2020
TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition.
ACM Trans. Math. Softw., 2020

Stochastic Gradients for Large-Scale Tensor Decomposition.
SIAM J. Math. Data Sci., 2020

Generalized Canonical Polyadic Tensor Decomposition.
SIAM Rev., 2020

Estimating Higher-Order Moments Using Symmetric Tensor Decomposition.
SIAM J. Matrix Anal. Appl., 2020

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

Software for Sparse Tensor Decomposition on Emerging Computing Architectures.
SIAM J. Sci. Comput., 2019

Faster Johnson-Lindenstrauss Transforms via Kronecker Products.
CoRR, 2019

2018
A Practical Randomized CP Tensor Decomposition.
SIAM J. Matrix Anal. Appl., 2018

XPCA: Extending PCA for a Combination of Discrete and Continuous Variables.
CoRR, 2018

An improved hyperbolic embedding algorithm.
J. Complex Networks, 2018

2017
Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Directed closure measures for networks with reciprocity.
J. Complex Networks, 2017

Measuring and modeling bipartite graphs with community structure.
J. Complex Networks, 2017

2016
Parallel Tensor Compression for Large-Scale Scientific Data.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015
Newton-based optimization for Kullback-Leibler nonnegative tensor factorizations.
Optim. Methods Softw., 2015

Numerical optimization for symmetric tensor decomposition.
Math. Program., 2015

Symmetric Orthogonal Tensor Decomposition is Trivial.
CoRR, 2015

Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors.
SIAM J. Sci. Comput., 2014

Special Section on Two Themes: Planet Earth and Big Data.
SIAM J. Sci. Comput., 2014

Counting Triangles in Massive Graphs with MapReduce.
SIAM J. Sci. Comput., 2014

A Scalable Generative Graph Model with Community Structure.
SIAM J. Sci. Comput., 2014

An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs.
SIAM J. Matrix Anal. Appl., 2014

Wedge sampling for computing clustering coefficients and triangle counts on large graphs.
Stat. Anal. Data Min., 2014

Accelerating Community Detection by Using K-core Subgraphs.
CoRR, 2014

Using Triangles to Improve Community Detection in Directed Networks.
CoRR, 2014

2013
An in-depth analysis of stochastic Kronecker graphs.
J. ACM, 2013

Newton-Based Optimization for Nonnegative Tensor Factorizations
CoRR, 2013

On Reciprocity in Massively Multi-player Online Game Networks
CoRR, 2013

The importance of directed triangles with reciprocity: patterns and algorithms
CoRR, 2013

Exploiting Symmetry in Tensors for High Performance
CoRR, 2013

Triadic Measures on Graphs: The Power of Wedge Sampling.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

A scalable null model for directed graphs matching all degree distributions: In, out, and reciprocal.
Proceedings of the 2nd IEEE Network Science Workshop, 2013

Dynamics of trust reciprocation in multi-relational networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
On Tensors, Sparsity, and Nonnegative Factorizations.
SIAM J. Matrix Anal. Appl., 2012

A scalable directed graph model with reciprocal edges
CoRR, 2012

Degree Relations of Triangles in Real-world Networks and Models
CoRR, 2012

Fast Triangle Counting through Wedge Sampling
CoRR, 2012

The Similarity Between Stochastic Kronecker and Chung-Lu Graph Models.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Degree relations of triangles in real-world networks and graph models.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Temporal Link Prediction Using Matrix and Tensor Factorizations.
ACM Trans. Knowl. Discov. Data, 2011

Shifted Power Method for Computing Tensor Eigenpairs.
SIAM J. Matrix Anal. Appl., 2011

Community structure and scale-free collections of Erdös-Rényi graphs
CoRR, 2011

All-at-once Optimization for Coupled Matrix and Tensor Factorizations
CoRR, 2011

A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs
CoRR, 2011

Efficiently Computing Tensor Eigenvalues on a GPU.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

An In-depth Study of Stochastic Kronecker Graphs.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

COMET: A Recipe for Learning and Using Large Ensembles on Massive Data.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Multilinear Algebra for Analyzing Data with Multiple Linkages.
Proceedings of the Graph Algorithms in the Language of Linear Algebra, 2011

2010
Asynchronous parallel hybrid optimization combining DIRECT and GSS.
Optim. Methods Softw., 2010

Scalable Tensor Factorizations for Incomplete Data
CoRR, 2010

Scalable Tensor Factorizations with Missing Data.
Proceedings of the SIAM International Conference on Data Mining, 2010

2009
Tensor Decompositions and Applications.
SIAM Rev., 2009

Link Prediction on Evolving Data Using Matrix and Tensor Factorizations.
Proceedings of the ICDM Workshops 2009, 2009

2008
Asynchronous Parallel Generating Set Search for Linearly Constrained Optimization.
SIAM J. Sci. Comput., 2008

Scalable Tensor Decompositions for Multi-aspect Data Mining.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Efficient MATLAB Computations with Sparse and Factored Tensors.
SIAM J. Sci. Comput., 2007

Mining large graphs and streams using matrix and tensor tools.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Cross-language information retrieval using PARAFAC2.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Temporal Analysis of Semantic Graphs Using ASALSAN.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
Algorithm 856: APPSPACK 4.0: asynchronous parallel pattern search for derivative-free optimization.
ACM Trans. Math. Softw., 2006

Algorithm 862: MATLAB tensor classes for fast algorithm prototyping.
ACM Trans. Math. Softw., 2006

Stationarity Results for Generating Set Search for Linearly Constrained Optimization.
SIAM J. Optim., 2006

A Parallel, Asynchronous Method for Derivative-Free Nonlinear Programs.
Proceedings of the Mathematical Software, 2006

2005
An overview of the Trilinos project.
ACM Trans. Math. Softw., 2005

Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization.
SIAM J. Optim., 2005

Higher-Order Web Link Analysis Using Multilinear Algebra.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
On the Convergence of Asynchronous Parallel Pattern Search.
SIAM J. Optim., 2004

Optimizing an Empirical Scoring Function for Transmembrane Protein Structure Determination.
INFORMS J. Comput., 2004

2003
Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods.
SIAM Rev., 2003

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., 2003

2001
Asynchronous Parallel Pattern Search for Nonlinear Optimization.
SIAM J. Sci. Comput., 2001

Orthogonal Tensor Decompositions.
SIAM J. Matrix Anal. Appl., 2001

Hidden Markov Models for Chromosome Identification.
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001

2000
Algorithm 805: computation and uses of the semidiscrete matrix decomposition.
ACM Trans. Math. Softw., 2000

Partitioning Rectangular and Structurally Unsymmetric Sparse Matrices for Parallel Processing.
SIAM J. Sci. Comput., 2000

Graph partitioning models for parallel computing.
Parallel Comput., 2000

1998
A Semidiscrete Matrix Decomposition for Latent Semantic Indexing Information Retrieval.
ACM Trans. Inf. Syst., 1998

BFGS with Update Skipping and Varying Memory.
SIAM J. Optim., 1998

Partitioning Sparse Rectangular Matrices for Parallel Computations of <i>Ax</i> and <i>A<sup>T</sup>v</i>.
Proceedings of the Applied Parallel Computing, 1998

Partitioning Rectangular Matrices for Parallel Processing.
Proceedings of the Solving Irregularly Structured Problems in Parallel, 1998


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