# Publications

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Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition

SIAM J. Matrix Analysis and Applications, 2022

Scalable Symmetric Tucker Tensor Decomposition

arXiv, 2022

Tensor Moments of Gaussian Mixture Models: Theory and Applications

arXiv, 2022

Sketching Matrix Least Squares via Leverage Scores Estimates

arXiv, 2022

Streaming Generalized Canonical Polyadic Tensor Decompositions

arXiv, 2021

Randomized Algorithms for Scientific Computing (RASC)

arXiv, 2021

Stochastic Gradients for Large-Scale Tensor Decomposition

SIAM Journal on Mathematics of Data Science, 2020

Faster Johnson-Lindenstrauss Transforms via Kronecker Products

Information and Inference: A Journal of the IMA, 2020

Mathematics: The Tao of Data Science

Harvard Data Science Review, 2020

Estimating Higher-Order Moments Using Symmetric Tensor Decomposition

SIAM Journal on Matrix Analysis and Applications, 2020

TuckerMPI: A Parallel C++/MPI Software Package for Large-scale Data Compression via the Tucker Tensor Decomposition

ACM Transactions on Mathematical Software, 2020

SIAM Review, 2020

Software for Sparse Tensor Decomposition on Emerging Computing Architectures

SIAM Journal on Scientific Computing, 2019

Introduction to SIAM Journal on Mathematics of Data Science (SIMODS)

SIAM Journal on Mathematics of Data Science, 2019

XPCA: Extending PCA for a Combination of Discrete and Continuous Variables

arXiv, 2018

A Practical Randomized CP Tensor Decomposition

SIAM Journal on Matrix Analysis and Applications, 2018

Unsupervised Discovery of Demixed, Low-dimensional Neural Dynamics across Multiple Timescales through Tensor Components Analysis

Neuron, 2018

An Improved Hyperbolic Embedding Algorithm

Journal of Complex Networks, 2017

Triangular Alignment (TAME): A Tensor-based Approach for Higher-order Network Alignment

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017

Measuring and Modeling Bipartite Graphs with Community Structure

Journal of Complex Networks, 2017

Parallel Tensor Compression for Large-Scale Scientific Data

In IPDPS’16: Proceedings of the 30th IEEE International Parallel and Distributed Processing Symposium, 2016

Directed Closure Measures for Networks with Reciprocity

Journal of Complex Networks, 2016

Diamond Sampling for Approximate Maximum All-pairs Dot-product (MAD) Search

In ICDM 2015: Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Newton-Based Optimization for Kullback-Leibler Nonnegative Tensor Factorizations

Optimization Methods and Software, 2015

Numerical Optimization for Symmetric Tensor Decomposition

Mathematical Programming B, 2015

Symmetric Orthogonal Tensor Decomposition is Trivial

arXiv, 2015

An Adaptive Shifted Power Method for Computing Generalized Tensor Eigenpairs

SIAM Journal on Matrix Analysis and Applications, 2014

Counting Triangles in Massive Graphs with MapReduce

SIAM Journal on Scientific Computing, 2014

Exploiting Symmetry in Tensors for High Performance

SIAM Journal on Scientific Computing, 2014

A Scalable Generative Graph Model with Community Structure

SIAM Journal on Scientific Computing, 2014

Wedge Sampling for Computing Clustering Coefficients and Triangle Counts on Large Graphs

Statistical Analysis and Data Mining, 2014

Using Triangles to Improve Community Detection in Directed Networks

In The Second ASE International Conference on Big Data Science and Computing, BigDataScience, 2014

Accelerating Community Detection by Using K-core Subgraphs

arXiv, 2014

Dynamics of Trust Reciprocation in Multi-relational Networks

In ASONAM ‘13: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013

Large-scale Network Analysis at SIAM CSE Conference

SIAM News, 2013

Triadic Measures on Graphs: The Power of Wedge Sampling

In SDM13: Proceedings of the 2013 SIAM International Conference on Data Mining, 2013

A Scalable Null Model for Directed Graphs Matching All Degree Distributions: In, Out, and Reciprocal

In NSW 2013: Proceedings of IEEE 2013 2nd International Network Science Workshop, 2013

An In-Depth Analysis of Stochastic Kronecker Graphs

Journal of the ACM, 2013

Degree Relations of Triangles in Real-world Networks and Graph Models

In CIKM’12: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2013

On Tensors, Sparsity, and Nonnegative Factorizations

SIAM Journal on Matrix Analysis and Applications, 2012

Community Structure and Scale-free Collections of Erdos-Renyi Graphs

Physical Review E, 2012

The Similarity between Stochastic Kronecker and Chung-Lu Graph Models

In SDM12: Proceedings of the 12th SIAM International Conference on Data Mining, 2012

COMET: A Recipe for Learning and Using Large Ensembles on Massive Data

In ICDM 2011: Proceedings of the 2011 IEEE International Conference on Data Mining, 2011

An In-Depth Study of Stochastic Kronecker Graphs

In ICDM 2011: Proceedings of the 2011 IEEE International Conference on Data Mining, 2011

Shifted Power Method for Computing Tensor Eigenpairs

SIAM Journal on Matrix Analysis and Applications, 2011

Multilinear Algebra for Analyzing Data with Multiple Linkages

In Graph Algorithms in the Language of Linear Algebra, 2011

All-at-once Optimization for Coupled Matrix and Tensor Factorizations

In MLG’11: Proceedings of Mining and Learning with Graphs, 2011

Efficiently Computing Tensor Eigenvalues on a GPU

In IPDPSW’11: Proceedings of the 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum, 2011

Top Ten Ways to Lose an Audience

SIAM News, 2011

Making Tensor Factorizations Robust to Non-Gaussian Noise

Tech. Rep., Sandia National Laboratories, 2011

Scalable Tensor Factorizations for Incomplete Data

Chemometrics and Intelligent Laboratory Systems, 2011

Temporal Link Prediction using Matrix and Tensor Factorizations

ACM Transactions on Knowledge Discovery from Data, 2011

A Scalable Optimization Approach for Fitting Canonical Tensor Decompositions

Journal of Chemometrics, 2011

Making Tensor Factorizations Robust to Non-Gaussian Noise

In NIPS Workshop on Tensors, Kernels, and Machine Learning, 2010

Scalable Tensor Factorizations with Missing Data

In SDM10: Proceedings of the 2010 SIAM International Conference on Data Mining, 2010

Nonlinearly-constrained Optimization Using Heuristic Penalty Methods and Asynchronous Parallel Generating Set Search

Applied Mathematics Research eXpress, 2010

Poblano v1.0: A Matlab Toolbox for Gradient-Based Optimization

Tech. Rep., Sandia National Laboratories, 2010

Link Prediction on Evolving Data using Matrix and Tensor Factorizations

In ICDMW’09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, 2009

Tech. Rep., Sandia National Laboratories, 2009

Tensor Decompositions and Applications

SIAM Review, 2009

Asynchronous Parallel Hybrid Optimization Combining DIRECT and GSS

Optimization Methods and Software, 2009

Mathematical Challenges in Cybersecurity

Tech. Rep., Sandia National Laboratories, 2009

Scalable Tensor Decompositions for Multi-aspect Data Mining

In ICDM 2008: Proceedings of the 8th IEEE International Conference on Data Mining, 2008

CPOPT: Optimization for Fitting CANDECOMP/PARAFAC Models (extended abstact)

In CASTA 2008: Workshop on Computational Algebraic Statistics, Theories and Applications, 2008

Concurrent Optimization with DUET: DIRECT Using External Trial Points

Tech. Rep., Sandia National Laboratories, 2008

Multi-way Data Analysis and Applications (extended abstract)

In Proceedings of the 2008 Sandia Workshop on Data Mining and Data Analysis, 2008

Asynchronous Parallel Generating Set Search For Linearly-Constrained Optimization

SIAM Journal on Scientific Computing, 2008

A Comparison of Derivative-Free Optimization Methods for Groundwater Supply and Hydraulic Capture Community Problems

Resolving the Sign Ambiguity in the Singular Value Decomposition

Journal of Chemometrics, 2008

Efficient MATLAB Computations with Sparse and Factored Tensors

SIAM Journal on Scientific Computing, 2007

Extracting Clusters from Large Datasets with Multiple Similarity Measures Using IMSCAND

In CSRI Summer Proceedings 2007, 2007

Temporal Analysis of Semantic Graphs using ASALSAN

In ICDM 2007: Proceedings of the 7th IEEE International Conference on Data Mining, 2007

Cross-language Information Retrieval using PARAFAC2

In KDD ‘07: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

First BGCE Student Prize in CSE

SIAM News, 2007

Mining Large Graphs and Streams using Matrix and Tensor Tools (extended abstract)

In SIGMOD ‘07: Proceedings of the 2007 ACM SIGMOD international conference on Management of data, 2007

Algorithm 862: MATLAB Tensor Classes for Fast Algorithm Prototyping

ACM Transactions on Mathematical Software, 2006

Stationarity Results for Generating Set Search for Linearly Constrained Optimization

SIAM Journal on Optimization, 2006

DAKOTA, a Multilevel Parallel Object-oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 4.0 Reference Manual

Tech. Rep., Sandia National Laboratories, 2006

Algorithm 856: APPSPACK 4.0: Asynchronous Parallel Pattern Search for Derivative-Free Optimization

ACM Transactions on Mathematical Software, 2006

A Generating Set Direct Search Augmented Lagrangian Algorithm for Optimization with a Combination of General and Linear Constraints

Tech. Rep., Sandia National Laboratories, 2006

A Parallel, Asynchronous Method for Derivative-Free Nonlinear Programs (extended abstract)

In Mathematical Software - ICMS 2006, 2006

Multilinear Operators for Higher-order Decompositions

Tech. Rep., Sandia National Laboratories, 2006

The TOPHITS Model for Higher-order Web Link Analysis

In Proceedings of Link Analysis, Counterterrorism and Security 2006, 2006

Revisiting Asynchronous Parallel Pattern Search for Nonlinear Optimization

SIAM Journal on Optimization, 2005

Robust Large-scale Parallel Nonlinear Solvers for Simulations

Tech. Rep., Sandia National Laboratories, 2005

Higher-Order Web Link Analysis Using Multilinear Algebra

In ICDM 2005: Proceedings of the 5th IEEE International Conference on Data Mining, 2005

An Overview of the Trilinos Project

ACM Transactions on Mathematical Software, 2005

Data Sciences Technology for Homeland Security Information Management and Knowledge Discovery: DHS Workshop on Data Sciences

Tech. Rep., Sandia National Laboratories, 2005

An Unexpected Turn

In Complexities: Women in Mathematics, 2005

Optimizing an Empirical Scoring Function for Transmembrane Protein Structure Determination

INFORMS Journal on Computing, 2004

Parallel Optimization of Forging Processes for Optimal Material Properties

In NUMIFORM 2004: Proceedings of the 8th International Conference on Numerical Methods in Industrial Forming Processes, 2004

On the Threshold of a New Era for Parallel Computing

SIAM News, 2004

On the Convergence of Asynchronous Parallel Pattern Search

SIAM Journal on Optimization, 2004

Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods

SIAM Review, 2003

Understanding Asynchronous Parallel Pattern Search

In High Performance Algorithms and Software for Nonlinear Optimization, 2003

A Counterexample to the Possibility of an Extension of the Eckart-Young Low-rank Approximation Theorem for the Orthogonal Rank Tensor Decomposition

SIAM Journal on Matrix Analysis and Applications, 2003

Orthogonal Tensor Decompositions

SIAM Journal on Matrix Analysis and Applications, 2001

Hidden Markov Models for Chromosome Identification

In CBMS 2001: Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems, 2001

Asynchronous Parallel Pattern Search for Nonlinear Optimization

SIAM Journal on Scientific Computing, 2001

Graph Partitioning Models for Parallel Computing

Parallel Computing, 2000

Chromosome Identification Using Hidden Markov Models: Comparison with Neural Networks, Singular Value Decomposition, Principal Components Analysis, and Fisher Discriminant Analysis

Laboratory Investigation, 2000

Algorithm 805: Computation and Uses of the Semidiscrete Matrix Decomposition

ACM Transactions on Mathematical Software, 2000

Usage Manual for APPSPACK 2.0

Tech. Rep., Sandia National Laboratories, 2000

Partitioning Rectangular and Structurally Unsymmetric Sparse Matrices for Parallel Processing

SIAM Journal on Scientific Computing, 2000

New Term Weighting Formulas for the Vector Space Method in Information Retrieval

Tech. Rep., Oak Ridge National Laboratory, 1999

Latent Semantic Indexing Via a Semi-discrete Matrix Decomposition

In The Mathematics of Information Coding, Extraction and Distribution, 1999

BFGS with Update Skipping and Varying Memory

SIAM Journal on Optimization, 1998

A Semidiscrete Matrix Decomposition for Latent Semantic Indexing Information Retrieval

ACM Transactions on Information Systems, 1998

Partitioning Sparse Rectangular Matrices for Parallel Processing

In Solving Irregularly Structured Problems in Parallel, 1998

Partitioning Sparse Rectangular Matrices for Parallel Computations of $Ax$ and $A^Tv$

In Applied Parallel Computing Large Scale Scientific and Industrial Problems, 1998

Limited-Memory Matrix Methods with Applications

Applied Mathematics Program, University of Maryland, College Park, 1997

Matching Permuted Variables in Two or More Data Sets

Tech. Rep., Center for Research in Scientific Computation, North Carolina State University, 1996

The NAS Parallel Conjugate Gradient Benchmark on the Cray T3D

Tech. Rep., Supercomputing Research Center, Bowie, MD, 1994