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American applied mathematician

According to Wikipedia, Tamara G. Kolda is an American applied mathematician and Distinguished Member of Technical Staff at Sandia National Laboratories. She is noted for her contributions in computational science, multilinear algebra, data mining, graph algorithms, mathematical optimization, parallel computing, and software engineering. She is currently a member of the SIAM Board of Trustees and served as associate editor for both the SIAM Journal on Scientific Computing and the SIAM Journal on Matrix Analysis and Applications.

- Tensor Decompositions and Applications (2009) (7364)
- Scalable Tensor Factorizations for Incomplete Data (2010) (487)
- Temporal Link Prediction Using Matrix and Tensor Factorizations (2010) (469)
- Efficient MATLAB Computations with Sparse and Factored Tensors (2007) (444)
- Algorithm 862: MATLAB tensor classes for fast algorithm prototyping (2006) (424)
- Orthogonal Tensor Decompositions (2000) (380)
- Scalable Tensor Decompositions for Multi-aspect Data Mining (2008) (351)
- Multilinear operators for higher-order decompositions (2006) (347)
- DAKOTA , A Multilevel Parallel Object-Oriented Framework for Design Optimization , Parameter Estimation , Uncertainty Quantification , and Sensitivity Analysis Version 4 . 0 User ’ s Manual (2006) (285)
- Shifted Power Method for Computing Tensor Eigenpairs (2010) (283)
- Higher-order Web link analysis using multilinear algebra (2005) (273)
- On Tensors, Sparsity, and Nonnegative Factorizations (2011) (266)
- A semidiscrete matrix decomposition for latent semantic indexing information retrieval (1998) (254)
- A scalable optimization approach for fitting canonical tensor decompositions (2011) (252)
- All-at-once Optimization for Coupled Matrix and Tensor Factorizations (2011) (240)
- Community structure and scale-free collections of Erdös-Rényi graphs (2011) (235)
- The TOPHITS Model for Higher-Order Web Link Analysis∗ (2006) (190)
- MATLAB Tensor Toolbox (2006) (172)
- Link Prediction on Evolving Data Using Matrix and Tensor Factorizations (2009) (155)
- Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis (2017) (154)
- Resolving the sign ambiguity in the singular value decomposition (2008) (150)
- A Scalable Generative Graph Model with Community Structure (2013) (145)
- A Practical Randomized CP Tensor Decomposition (2017) (131)
- Scalable Tensor Factorizations with Missing Data (2010) (129)
- Temporal Analysis of Semantic Graphs Using ASALSAN (2007) (128)
- New Term Weighting Formulas for the Vector Space Method in Information Retrieval (1999) (124)
- Triadic Measures on Graphs: The Power of Wedge Sampling (2012) (115)
- Parallel Tensor Compression for Large-Scale Scientific Data (2015) (113)
- Cross-language information retrieval using PARAFAC2 (2007) (108)
- MATLAB tensor classes for fast algorithm prototyping. (2004) (83)
- Poblano v1.0: A Matlab Toolbox for Gradient-Based Optimization (2010) (81)
- Multilinear Algebra for Analyzing Data with Multiple Linkages (2006) (76)
- Generalized Canonical Polyadic Tensor Decomposition (2018) (75)
- Counting Triangles in Massive Graphs with MapReduce (2013) (73)
- An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs (2014) (71)
- Algorithm 805: computation and uses of the semidiscrete matrix decomposition (1999) (70)
- Limited-memory matrix methods with applications (1997) (63)
- An in-depth analysis of stochastic Kronecker graphs (2011) (60)
- Wedge sampling for computing clustering coefficients and triangle counts on large graphs † (2013) (58)
- Using Triangles to Improve Community Detection in Directed Networks (2014) (58)
- An In-depth Study of Stochastic Kronecker Graphs (2011) (52)
- The Similarity Between Stochastic Kronecker and Chung-Lu Graph Models (2011) (50)
- Measuring and modeling bipartite graphs with community structure (2016) (49)
- BFGS with Update Skipping and Varying Memory (1998) (49)
- Temporal Analysis of Social Networks using Three-way DEDICOM (2006) (47)
- Accelerating Community Detection by Using K-core Subgraphs (2014) (47)
- Numerical optimization for symmetric tensor decomposition (2014) (46)
- Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors (2013) (44)
- Newton-based optimization for Kullback–Leibler nonnegative tensor factorizations (2013) (43)
- COMET: A Recipe for Learning and Using Large Ensembles on Massive Data (2011) (38)
- Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment (2015) (38)
- Future Directions in Tensor-Based Computation and Modeling (2009) (37)
- Degree relations of triangles in real-world networks and graph models (2012) (36)
- Fast Triangle Counting through Wedge Sampling (2012) (34)
- An Optimization Approach for Fitting Canonical Tensor Decompositions. (2009) (33)
- Stochastic Gradients for Large-Scale Tensor Decomposition (2019) (31)
- Diamond Sampling for Approximate Maximum All-Pairs Dot-Product (MAD) Search (2015) (30)
- A Counterexample to the Possibility of an Extension of the Eckart-Young Low-Rank Approximation Theorem for the Orthogonal Rank Tensor Decomposition (2002) (29)
- Extracting clusters from large datasets with multiple similarity measures. (2007) (27)
- Software for Sparse Tensor Decomposition on Emerging Computing Architectures (2018) (27)
- A scalable null model for directed graphs matching all degree distributions: In, out, and reciprocal (2012) (26)
- Latent Semantic Indexing Via a Semi-Discrete Matrix Decomposition (1999) (25)
- Faster Johnson-Lindenstrauss Transforms via Kronecker Products (2019) (23)
- Symmetric Orthogonal Tensor Decomposition is Trivial (2015) (23)
- Efficiently Computing Tensor Eigenvalues on a GPU (2011) (23)
- TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition (2019) (23)
- Chromosome Identification Using Hidden Markov Models: Comparison with Neural Networks, Singular Value Decomposition, Principal Components Analysis, and Fisher Discriminant Analysis (2000) (23)
- Mining large time-evolving data using matrix and tensor tools (2007) (22)
- Making Tensor Factorizations Robust to Non-Gaussian Noise (2010) (22)
- Mining large graphs and streams using matrix and tensor tools (2007) (20)
- Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition (2020) (20)
- Data Sciences Technology for Homeland Security Information Management and Knowledge Discovery (2005) (19)
- Directed closure measures for networks with reciprocity (2013) (19)
- Degree Relations of Triangles in Real-world Networks and Models (2012) (17)
- Pattern Analysis of Directed Graphs Using DEDICOM: An Application to Enron Email (2006) (16)
- Generalized BadRank with Graduated Trust (2009) (13)
- Dynamics of trust reciprocation in multi-relational networks (2013) (11)
- Nonnegative Tensor Factorizations for Sparse Count Data. (2011) (11)
- XPCA: Extending PCA for a Combination of Discrete and Continuous Variables (2018) (10)
- Exploiting Symmetry in Tensors for High Performance (2013) (10)
- Estimating Higher-Order Moments Using Symmetric Tensor Decomposition (2019) (10)
- The importance of directed triangles with reciprocity: patterns and algorithms (2013) (9)
- A preliminary report on the development of MATLAB tensor classes for fast algorithm prototyping. (2004) (9)
- A scalable directed graph model with reciprocal edges (2012) (6)
- Newton-Based Optimization for Nonnegative Tensor Factorizations (2013) (6)
- An improved hyperbolic embedding algorithm (2018) (6)
- TuckerMPI (2020) (5)
- Tensor Decompositions for Analyzing Multi-link Graphs. (2008) (5)
- A Hitchhiker's Guide to Choosing Parameters of Stochastic Kronecker Graphs (2011) (3)
- A brief summary on formalizing parallel tensor distributions redistributions and algorithm derivations. (2015) (3)
- Tensor decompositions and their application. (2007) (3)
- MATLAB tensor classes for fast algorithm prototyping : source code. (2004) (3)
- Hidden Markov models for chromosome identification (2001) (3)
- Dynamics of Trust Reciprocation in Heterogenous MMOG Networks (2013) (2)
- On Reciprocity in Massively Multi-player Online Game Networks (2013) (2)
- Exploiting Symmetry in Tensors for High Performance: An Initial Study (2013) (2)
- Tensor Moments of Gaussian Mixture Models: Theory and Applications (2022) (2)
- The MATLAB tensor toolbox for efficient computations with sparse and factored tensors. (2007) (2)
- Streaming Generalized Canonical Polyadic Tensor Decompositions (2021) (1)
- Tensor Decompositions and Data Mining. (2007) (1)
- The BTER Graph Model: Blocked Two-Level Erdos-Renyi. (2011) (1)
- NeuroResource Unsupervised Discovery o f Demixed , Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis Graphical (2018) (1)
- An Adaptive Power Method for the Generalized Tensor Eigenproblem. (2014) (1)
- Orthogonal Rank Decompositions for Tensors (1999) (1)
- Erratum: Resolving the sign ambiguity in the singular value decomposition (2008) (1)
- CPOPT : optimization for fitting CANDECOMP/PARAFAC models. (2008) (1)
- Analytical and Algorithmic Challenges in Network Analysis. (2014) (0)
- The Block Two-level Erdos Renyi (BTER) Graph Model. (2012) (0)
- SAND 2011-1877 Unlimited Release Printed March 2011 Making Tensor Factorizations Robust to Non-Gaussian Noise (2011) (0)
- Definition 2 . 6 ( Mode-n matrix product ) The n-mode matrix product (2008) (0)
- A Scalable Null Model to Match All Degree Distributions: In Out and Reciprocal. (2013) (0)
- Low-rank continuous tensor decomposition for prediction, optimization, and design∗ (2017) (0)
- Symmetric Tensor Decomposition via a Power Method for the Generalized Tensor Eigenproblem. (2012) (0)
- Graph Characterization and Sampling Algorithms. (2015) (0)
- Models for Generating Large Realistic Graphs (2011) (0)
- SAND 2010-6131 XXXX Unlimited Release Printed October 2010 Shifted Power Method for Computing Tensor Eigenpairs (2010) (0)
- Sandia Software for Networks from DARPA GRAPHS Program. (2014) (0)
- Analytics for Cyber Network Defense (2011) (0)
- Workshop on Women of Applied Mathematics: Research and Leadership (2004) (0)
- Data Mining on Attributed Relationship Graphs (ARGs). (2007) (0)
- Maintaining An Online Publication List. (2013) (0)
- Community Detection for Large Graphs. (2014) (0)
- C%2B%2B tensor toolbox user manual. (2012) (0)
- Fast Algorithms for Evolving Graphs via Assays Sampling and Theory. (2012) (0)
- LDRD final report : leveraging multi-way linkages on heterogeneous data. (2010) (0)
- Unsupervised Learning Through Randomized Algorithms for High-Volume High-Velocity Data (ULTRA-HV). (2018) (0)
- Computational optimization for tensor decompositions (2014) (0)
- Randomized Algorithms and Their Role in Scientiﬁc Computing (2017) (0)
- The Canonical Tensor Decomposition and Its Applications to Data Analysis. (2009) (0)
- Special Section on Two Themes: Planet Earth and Big Data (2014) (0)
- Scalable methods for representing, characterizing, and generating large graphs. (2010) (0)
- Computing the Largest Entries in a Matrix Product via Sampling. (2015) (0)
- Challenges of Modeling Directed Networks. (2013) (0)
- Analyzing Modeling and Generating BIG Networks. (2013) (0)
- Computing Tensor Eigenvalues: Theory and Practice. (2011) (0)
- Scalable Methods for Characterizing and Generating Large Graphs. (2012) (0)
- Sketching Matrix Least Squares via Leverage Scores Estimates (2022) (0)
- Final Report: Parallel Tensor Decompositions for Massive Heterogeneous Incomplete Data (LDRD Project 199986). (2019) (0)
- Generating Large Graphs for benchmarking. (2014) (0)
- IEEE CIDM 2011 Committee Symposium on Computational Intelligence and Data Mining (IEEE CIDM 2011) (2011) (0)
- Preliminary versions of the MATLAB tensor classes for fast algorithm prototyping. (2004) (0)
- The BTER Graph Generator: A Scalable Model with Measurable Community Structure. (2012) (0)
- SAND 2006-2081 Unclassified Unlimited Release Printed April 2006 Multilinear operators for higher-order decompositions (2006) (0)
- The Block Two-Level Erd&%23246s-R&%23233nyi (BTER) Graph Model. (2012) (0)
- The Role of Theory and Data Analysis in Generating Massive Realistic Networks. (2013) (0)
- Generalized Canonical Polyadic Tensor Decompositions for Streaming Data. (2021) (0)
- Scalable symmetric Tucker tensor decomposition (2022) (0)
- Modeling Large-Scale Networks. (2015) (0)
- Preface to the special issue on tensors and multilinear algebra (2013) (0)
- Dynamical activity patterns in the macaque posterior parietal cortex during path integration (2017) (0)
- Introduction to SIAM Journal on Mathematics of Data Science (SIMODS) (2019) (0)
- The Inherent Community Structure in Real-World Graphs. (2012) (0)

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