Inderjit S. Dhillon

According to our database1, Inderjit S. Dhillon authored at least 192 papers between 1995 and 2019.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2014, "For contributions to large-scale data analysis, machine learning and computational mathematics.".

IEEE Fellow

IEEE Fellow 2014, "For contributions to large-scale data analysis and computational mathematics".

Timeline

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In proceedings 
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PhD thesis 
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Bibliography

2019
Non-Exhaustive, Overlapping Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure.
CoRR, 2019

Primal-Dual Block Frank-Wolfe.
CoRR, 2019

A Modular Deep Learning Approach for Extreme Multi-label Text Classification.
CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.
CoRR, 2019

Provable Non-linear Inductive Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

AutoAssist: A Framework to Accelerate Training of Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Primal-Dual Block Generalized Frank-Wolfe.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inverting Deep Generative models, One layer at a time.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Similarity Preserving Representation Learning for Time Series Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

The Limitations of Adversarial Training and the Blind-Spot Attack.
Proceedings of the 7th International Conference on Learning Representations, 2019

Abstract of the Keynotes.
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations.
J. Mach. Learn. Res., 2018

Discrete Attacks and Submodular Optimization with Applications to Text Classification.
CoRR, 2018

Nonlinear Inductive Matrix Completion based on One-layer Neural Networks.
CoRR, 2018

Realtime Query Completion via Deep Language Models.
Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

Learning Long Term Dependencies via Fourier Recurrent Units.
Proceedings of the 35th International Conference on Machine Learning, 2018

Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Fast Computation of Certified Robustness for ReLU Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Partial Hard Thresholding.
IEEE Trans. Information Theory, 2017

Memory Efficient Kernel Approximation.
J. Mach. Learn. Res., 2017

Cost-Sensitive Learning with Noisy Labels.
J. Mach. Learn. Res., 2017

Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels.
CoRR, 2017

Similarity Preserving Representation Learning for Time Series Analysis.
CoRR, 2017

A Greedy Approach for Budgeted Maximum Inner Product Search.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Recovery Guarantees for One-hidden-layer Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Gradient Boosted Decision Trees for High Dimensional Sparse Output.
Proceedings of the 34th International Conference on Machine Learning, 2017

Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Non-Exhaustive, Overlapping Co-Clustering.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Fast Classification with Binary Prototypes.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Rank Aggregation and Prediction with Item Features.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Signal Processing, 2016

Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion.
IEEE Trans. Knowl. Data Eng., 2016

Clustered Matrix Approximation.
SIAM J. Matrix Analysis Applications, 2016

Kernel Ridge Regression via Partitioning.
CoRR, 2016

Communication-Efficient Parallel Block Minimization for Kernel Machines.
CoRR, 2016

Nomadic Computing for Big Data Analytics.
IEEE Computer, 2016

Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Mixed Linear Regression with Multiple Components.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Asynchronous Parallel Greedy Coordinate Descent.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Coordinate-wise Power Method.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Structured Sparse Regression via Greedy Hard Thresholding.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Goal-Directed Inductive Matrix Completion.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery.
Proceedings of the 33nd International Conference on Machine Learning, 2016

PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Computationally Efficient Nyström Approximation using Fast Transforms.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Optimal Classification with Multivariate Losses.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Robust Principal Component Analysis with Side Information.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Temporal Regularized Matrix Factorization.
CoRR, 2015

Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.
CoRR, 2015

Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics.
CoRR, 2015

A Scalable Asynchronous Distributed Algorithm for Topic Modeling.
Proceedings of the 24th International Conference on World Wide Web, 2015

Non-exhaustive, Overlapping k-means.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Collaborative Filtering with Graph Information: Consistency and Scalable Methods.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Consistent Multilabel Classification.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Matrix Completion with Noisy Side Information.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons.
Proceedings of the 32nd International Conference on Machine Learning, 2015

PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent.
Proceedings of the 32nd International Conference on Machine Learning, 2015

PU Learning for Matrix Completion.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Clustering to forecast sparse time-series data.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Scalable Data-Driven PageRank: Algorithms, System Issues, and Lessons Learned.
Proceedings of the Euro-Par 2015: Parallel Processing, 2015

Tumblr Blog Recommendation with Boosted Inductive Matrix Completion.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

PU matrix completion with graph information.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Efficient Matrix Sensing Using Rank-1 Gaussian Measurements.
Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014
NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
PVLDB, 2014

Parallel matrix factorization for recommender systems.
Knowl. Inf. Syst., 2014

QUIC: quadratic approximation for sparse inverse covariance estimation.
J. Mach. Learn. Res., 2014

Prediction and clustering in signed networks: a local to global perspective.
J. Mach. Learn. Res., 2014

Inductive matrix completion for predicting gene-disease associations.
Bioinformatics, 2014

Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Multi-Scale Spectral Decomposition of Massive Graphs.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Consistent Binary Classification with Generalized Performance Metrics.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Fast Prediction for Large-Scale Kernel Machines.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Large-scale Multi-label Learning with Missing Labels.
Proceedings of the 31th International Conference on Machine Learning, 2014

Admixture of Poisson MRFs: A Topic Model with Word Dependencies.
Proceedings of the 31th International Conference on Machine Learning, 2014

A Divide-and-Conquer Solver for Kernel Support Vector Machines.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
A non-monotonic method for large-scale non-negative least squares.
Optimization Methods and Software, 2013

NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
CoRR, 2013

Large-scale Multi-label Learning with Missing Labels.
CoRR, 2013

Provable Inductive Matrix Completion.
CoRR, 2013

Which app will you use next?: collaborative filtering with interactional context.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Large Scale Distributed Sparse Precision Estimation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning with Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Scalable Network Analysis.
Proceedings of the 19th International Conference on Management of Data, 2013

Overlapping community detection using seed set expansion.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
On a Zero-Finding Problem Involving the Matrix Exponential.
SIAM J. Matrix Analysis Applications, 2012

Metric and Kernel Learning Using a Linear Transformation.
J. Mach. Learn. Res., 2012

Clustered embedding of massive social networks.
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Sparse inverse covariance matrix estimation using quadratic approximation.
Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 2012

Parallel Clustered Low-Rank Approximation of Graphs and Its Application to Link Prediction.
Proceedings of the Languages and Compilers for Parallel Computing, 2012

Low rank modeling of signed networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Scalable and Memory-Efficient Clustering of Large-Scale Social Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Multi-scale link prediction.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Scalable clustering of signed networks using balance normalized cut.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Scalable Affiliation Recommendation using Auxiliary Networks.
ACM TIST, 2011

Preface.
Math. Program., 2011

Clustered low rank approximation of graphs in information science applications.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Greedy Algorithms for Structurally Constrained High Dimensional Problems.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Orthogonal Matching Pursuit with Replacement.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Nearest Neighbor based Greedy Coordinate Descent.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Fast coordinate descent methods with variable selection for non-negative matrix factorization.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Exploiting longer cycles for link prediction in signed networks.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach.
SIAM J. Scientific Computing, 2010

Affiliation recommendation using auxiliary networks.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Guaranteed Rank Minimization via Singular Value Projection.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Inductive Regularized Learning of Kernel Functions.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A scalable trust-region algorithm with application to mixed-norm regression.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Supervised Link Prediction Using Multiple Sources.
Proceedings of the ICDM 2010, 2010

2009
Knowledge Discovery: Clustering.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Semi-supervised graph clustering: a kernel approach.
Machine Learning, 2009

Convex Perturbations for Scalable Semidefinite Programming.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Low-Rank Kernel Learning with Bregman Matrix Divergences.
J. Mach. Learn. Res., 2009

A spatio-temporal approach to collaborative filtering.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Matrix Completion from Power-Law Distributed Samples.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Geometry-aware metric learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A scalable framework for discovering coherent co-clusters in noisy data.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Clustering with Multiple Graphs.
Proceedings of the ICDM 2009, 2009

2008
Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering.
IEEE/ACM Trans. Comput. Biology Bioinform., 2008

The Metric Nearness Problem.
SIAM J. Matrix Analysis Applications, 2008

Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem.
Statistical Analysis and Data Mining, 2008

Simultaneous Unsupervised Learning of Disparate Clusterings.
Statistical Analysis and Data Mining, 2008

Constructing Packings in Grassmannian Manifolds via Alternating Projection.
Experimental Mathematics, 2008

Online Metric Learning and Fast Similarity Search.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Structured metric learning for high dimensional problems.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Rank minimization via online learning.
Proceedings of the Machine Learning, 2008

Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Matrix Nearness Problems with Bregman Divergences.
SIAM J. Matrix Analysis Applications, 2007

Weighted Graph Cuts without Eigenvectors A Multilevel Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation.
J. Mach. Learn. Res., 2007

Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Information-theoretic metric learning.
Proceedings of the Machine Learning, 2007

2006
The design and implementation of the MRRR algorithm.
ACM Trans. Math. Softw., 2006

Differential Entropic Clustering of Multivariate Gaussians.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Estimating the global pagerank of web communities.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Adaptive Website Design Using Caching Algorithms.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2006

Learning low-rank kernel matrices.
Proceedings of the Machine Learning, 2006

Clustering with Entropy-Like k-Means Algorithms.
Proceedings of the Grouping Multidimensional Data - Recent Advances in Clustering, 2006

2005
Designing structured tight frames via an alternating projection method.
IEEE Trans. Information Theory, 2005

Glued Matrices and the MRRR Algorithm.
SIAM J. Scientific Computing, 2005

A Parallel Eigensolver for Dense Symmetric Matrices Based on Multiple Relatively Robust Representations.
SIAM J. Scientific Computing, 2005

Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum.
SIAM J. Matrix Analysis Applications, 2005

Clustering with Bregman Divergences.
J. Mach. Learn. Res., 2005

Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.
J. Mach. Learn. Res., 2005

Generalized Nonnegative Matrix Approximations with Bregman Divergences.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A fast kernel-based multilevel algorithm for graph clustering.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

2004
Finite-Step Algorithms for Constructing Optimal CDMA Signature Sequences.
IEEE Trans. Information Theory, 2004

Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Triangle Fixing Algorithms for the Metric Nearness Problem.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Kernel k-means: spectral clustering and normalized cuts.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

An information theoretic analysis of maximum likelihood mixture estimation for exponential families.
Proceedings of the Machine Learning, 2004

2003
Orthogonal Eigenvectors and Relative Gaps.
SIAM J. Matrix Analysis Applications, 2003

A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification.
J. Mach. Learn. Res., 2003

Diametrical clustering for identifying anti-correlated gene clusters.
Bioinformatics, 2003

Information-theoretic co-clustering.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Generative model-based clustering of directional data.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Information Theoretic Clustering of Sparse Co-Occurrence Data.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
Class visualization of high-dimensional data with applications.
Comput. Stat. Data Anal., 2002

Enhanced word clustering for hierarchical text classification.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Iterative Clustering of High Dimensional Text Data Augmented by Local Search.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001
Concept Decompositions for Large Sparse Text Data Using Clustering.
Machine Learning, 2001

Co-clustering documents and words using bipartite spectral graph partitioning.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

1999
A Data-Clustering Algorithm on Distributed Memory Multiprocessors.
Proceedings of the Large-Scale Parallel Data Mining, 1999

1997
Practical Experience in the Numerical Dangers of Heterogeneous Computing.
ACM Trans. Math. Softw., 1997

Application of a New Algorithm for the Symmetric Eigenproblem to Computational Quantum Chemistry.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

ScaLAPACK: A Linear Algebra Library for Message-Passing Computers.
Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

1996
ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance.
Proceedings of the 1996 ACM/IEEE Conference on Supercomputing, 1996

Practical Experience in the Dangers of Heterogeneous Computing.
Proceedings of the Applied Parallel Computing, 1996

1995
ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance.
Proceedings of the Applied Parallel Computing, 1995


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