Inderjit S. Dhillon

Michael I. Jordan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Improved Convergence Rates for Non-Convex Federated Learning with Compression.

[BibT_eX]

[DOI]

CoRR, 2020

Voting based ensemble improves robustness of defensive models.

[BibT_eX]

[DOI]

CoRR, 2020

On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

PECOS: Prediction for Enormous and Correlated Output Spaces.

[BibT_eX]

[DOI]

CoRR, 2020

Non-Exhaustive, Overlapping Co-Clustering: An Extended Analysis.

[BibT_eX]

[DOI]

CoRR, 2020

Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection.

[BibT_eX]

[DOI]

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Taming Pretrained Transformers for Extreme Multi-label Text Classification.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Extreme Multi-label Classification from Aggregated Labels.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Encode Position for Transformer with Continuous Dynamical Model.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Non-Exhaustive, Overlapping Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

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

[BibT_eX]

[DOI]

Vikas K. Garg

CoRR, 2019

Primal-Dual Block Frank-Wolfe.

[BibT_eX]

[DOI]

Jiacheng Zhuo

Constantine Caramanis

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.

[BibT_eX]

[DOI]

Dimitris S. Papailiopoulos

Anastasios Kyrillidis

Shivaram Venkataraman

CoRR, 2019

Provable Non-linear Inductive Matrix Completion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jiong Zhang

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.

[BibT_eX]

[DOI]

Rajat Sen

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.

[BibT_eX]

[DOI]

Jiacheng Zhuo

Constantine Caramanis

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.

[BibT_eX]

[DOI]

Ajil Jalal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification.

[BibT_eX]

[DOI]

Proceedings of the SysML Conference 2019 (SysML 2019), 2019

Similarity Preserving Representation Learning for Time Series Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

The Limitations of Adversarial Training and the Blind-Spot Attack.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Abstract of the Keynotes.

[BibT_eX]

[DOI]

Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

Discrete Attacks and Submodular Optimization with Applications to Text Classification.

[BibT_eX]

[DOI]

Lingfei Wu

Pin-Yu Chen

Michael Witbrock

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Realtime Query Completion via Deep Language Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization.

[BibT_eX]

[DOI]

Jiong Zhang

Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Fast Computation of Certified Robustness for ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Partial Hard Thresholding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Memory Efficient Kernel Approximation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Cost-Sensitive Learning with Noisy Labels.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels.

[BibT_eX]

[DOI]

Zhao Song

CoRR, 2017

Similarity Preserving Representation Learning for Time Series Analysis.

[BibT_eX]

[DOI]

CoRR, 2017

A Greedy Approach for Budgeted Maximum Inner Product Search.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Gradient Boosted Decision Trees for High Dimensional Sparse Output.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Non-Exhaustive, Overlapping Co-Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Fast Classification with Binary Prototypes.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Rank Aggregation and Prediction with Item Features.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion.

[BibT_eX]

[DOI]

David F. Gleich

IEEE Trans. Knowl. Data Eng., 2016

Clustered Matrix Approximation.

[BibT_eX]

[DOI]

Berkant Savas

SIAM J. Matrix Anal. Appl., 2016

Kernel Ridge Regression via Partitioning.

[BibT_eX]

[DOI]

CoRR, 2016

Communication-Efficient Parallel Block Minimization for Kernel Machines.

[BibT_eX]

[DOI]

CoRR, 2016

Nomadic Computing for Big Data Analytics.

[BibT_eX]

[DOI]

Computer, 2016

Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Mixed Linear Regression with Multiple Components.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Asynchronous Parallel Greedy Coordinate Descent.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Coordinate-wise Power Method.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Goal-Directed Inductive Matrix Completion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Computationally Efficient Nyström Approximation using Fast Transforms.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Optimal Classification with Multivariate Losses.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Robust Principal Component Analysis with Side Information.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Temporal Regularized Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2015

Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

CoRR, 2015

Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics.

[BibT_eX]

[DOI]

CoRR, 2015

A Scalable Asynchronous Distributed Algorithm for Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web, 2015

Non-exhaustive, Overlapping k-means.

[BibT_eX]

[DOI]

David F. Gleich

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Consistent Multilabel Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

PU Learning for Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Clustering to forecast sparse time-series data.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Scalable Data-Driven PageRank: Algorithms, System Issues, and Lessons Learned.

[BibT_eX]

[DOI]

Proceedings of the Euro-Par 2015: Parallel Processing, 2015

Tumblr Blog Recommendation with Boosted Inductive Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

PU matrix completion with graph information.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Efficient Matrix Sensing Using Rank-1 Gaussian Measurements.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014

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

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Parallel matrix factorization for recommender systems.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2014

QUIC: quadratic approximation for sparse inverse covariance estimation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Prediction and clustering in signed networks: a local to global perspective.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Inductive matrix completion for predicting gene-disease associations.

[BibT_eX]

[DOI]

Bioinform., 2014

Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Admixture of Poisson MRFs: A Topic Model with Word Dependencies.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

A Divide-and-Conquer Solver for Kernel Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

A non-monotonic method for large-scale non-negative least squares.

[BibT_eX]

[DOI]

Optim. Methods Softw., 2013

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

[BibT_eX]

[DOI]

CoRR, 2013

Large-scale Multi-label Learning with Missing Labels.

[BibT_eX]

[DOI]

CoRR, 2013

Provable Inductive Matrix Completion.

[BibT_eX]

[DOI]

CoRR, 2013

Which app will you use next?: collaborative filtering with interactional context.

[BibT_eX]

[DOI]

Donghyuk Shin

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Large Scale Distributed Sparse Precision Estimation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Piyush Rai

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Scalable Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Management of Data, 2013

Overlapping community detection using seed set expansion.

[BibT_eX]

[DOI]

David F. Gleich

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

On a Zero-Finding Problem Involving the Matrix Exponential.

[BibT_eX]

[DOI]

Mátyás A. Sustik

SIAM J. Matrix Anal. Appl., 2012

Metric and Kernel Learning Using a Linear Transformation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

Clustered embedding of massive social networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Languages and Compilers for Parallel Computing, 2012

Low rank modeling of signed networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Scalable and Memory-Efficient Clustering of Large-Scale Social Networks.

[BibT_eX]

[DOI]

Xin Sui

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Multi-scale link prediction.

[BibT_eX]

[DOI]

Donghyuk Shin

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Scalable clustering of signed networks using balance normalized cut.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Scalable Affiliation Recommendation using Auxiliary Networks.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2011

Preface.

[BibT_eX]

[DOI]

Alexandre d'Aspremont

Francis R. Bach

Bin Yu

Math. Program., 2011

Clustered low rank approximation of graphs in information science applications.

[BibT_eX]

[DOI]

Berkant Savas

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Greedy Algorithms for Structurally Constrained High Dimensional Problems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Exploiting longer cycles for link prediction in signed networks.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach.

[BibT_eX]

[DOI]

SIAM J. Sci. Comput., 2010

Affiliation recommendation using auxiliary networks.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Guaranteed Rank Minimization via Singular Value Projection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Supervised Link Prediction Using Multiple Sources.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

2009

Knowledge Discovery: Clustering.

[BibT_eX]

[DOI]

Pavel Berkhin

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Semi-supervised graph clustering: a kernel approach.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Convex Perturbations for Scalable Semidefinite Programming.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Low-Rank Kernel Learning with Bregman Matrix Divergences.

[BibT_eX]

[DOI]

Mátyás A. Sustik

J. Mach. Learn. Res., 2009

A spatio-temporal approach to collaborative filtering.

[BibT_eX]

[DOI]

Zhengdong Lu

Deepak Agarwal

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Matrix Completion from Power-Law Distributed Samples.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhengdong Lu

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A scalable framework for discovering coherent co-clusters in noisy data.

[BibT_eX]

[DOI]

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Clustering with Multiple Graphs.

[BibT_eX]

[DOI]

Wei Tang

Zhengdong Lu

Proceedings of the ICDM 2009, 2009

2008

Coclustering of Human Cancer Microarrays Using Minimum Sum-Squared Residue Coclustering.

[BibT_eX]

[DOI]

Hyuk Cho

IEEE ACM Trans. Comput. Biol. Bioinform., 2008

The Metric Nearness Problem.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2008

Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2008

Simultaneous Unsupervised Learning of Disparate Clusterings.

[BibT_eX]

[DOI]

Stat. Anal. Data Min., 2008

Constructing Packings in Grassmannian Manifolds via Alternating Projection.

[BibT_eX]

[DOI]

Exp. Math., 2008

Online Metric Learning and Fast Similarity Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Structured metric learning for high dimensional problems.

[BibT_eX]

[DOI]

Jason V. Davis

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Rank minimization via online learning.

[BibT_eX]

[DOI]

Constantine Caramanis

Proceedings of the Machine Learning, 2008

Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Matrix Nearness Problems with Bregman Divergences.

[BibT_eX]

[DOI]

Joel A. Tropp

SIAM J. Matrix Anal. Appl., 2007

Weighted Graph Cuts without Eigenvectors A Multilevel Approach.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem.

[BibT_eX]

[DOI]

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Information-theoretic metric learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

2006

The design and implementation of the MRRR algorithm.

[BibT_eX]

[DOI]

Christof Vömel

ACM Trans. Math. Softw., 2006

Differential Entropic Clustering of Multivariate Gaussians.

[BibT_eX]

[DOI]

Jason V. Davis

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Estimating the global pagerank of web communities.

[BibT_eX]

[DOI]

Jason V. Davis

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Adaptive Website Design Using Caching Algorithms.

[BibT_eX]

[DOI]

Justin Brickell

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2006

Learning low-rank kernel matrices.

[BibT_eX]

[DOI]

Mátyás A. Sustik

Proceedings of the Machine Learning, 2006

Clustering with Entropy-Like k-Means Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Grouping Multidimensional Data - Recent Advances in Clustering, 2006

2005

Designing structured tight frames via an alternating projection method.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2005

Glued Matrices and the MRRR Algorithm.

[BibT_eX]

[DOI]

Christof Vömel

SIAM J. Sci. Comput., 2005

A Parallel Eigensolver for Dense Symmetric Matrices Based on Multiple Relatively Robust Representations.

[BibT_eX]

[DOI]

Paolo Bientinesi

Robert A. van de Geijn

SIAM J. Sci. Comput., 2005

Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2005

Clustering with Bregman Divergences.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2005

Clustering on the Unit Hypersphere using von Mises-Fisher Distributions.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2005

Generalized Nonnegative Matrix Approximations with Bregman Divergences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A fast kernel-based multilevel algorithm for graph clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Joel A. Tropp

Robert W. Heath Jr.

IEEE Trans. Inf. Theory, 2004

Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data.

[BibT_eX]

[DOI]

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

Triangle Fixing Algorithms for the Metric Nearness Problem.

[BibT_eX]

[DOI]

Joel A. Tropp

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Kernel k-means: spectral clustering and normalized cuts.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

2003

Orthogonal Eigenvectors and Relative Gaps.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2003

A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification.

[BibT_eX]

[DOI]

Subramanyam Mallela

Rahul Kumar

J. Mach. Learn. Res., 2003

Diametrical clustering for identifying anti-correlated gene clusters.

[BibT_eX]

[DOI]

Edward M. Marcotte

Usman Roshan

Bioinform., 2003

Information-theoretic co-clustering.

[BibT_eX]

[DOI]

Subramanyam Mallela

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

Class visualization of high-dimensional data with applications.

[BibT_eX]

[DOI]

W. Scott Spangler

Comput. Stat. Data Anal., 2002

Enhanced word clustering for hierarchical text classification.

[BibT_eX]

[DOI]

Subramanyam Mallela

Rahul Kumar

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.

[BibT_eX]

[DOI]

Jacob Kogan

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

Concept Decompositions for Large Sparse Text Data Using Clustering.

[BibT_eX]

[DOI]

Mach. Learn., 2001

Co-clustering documents and words using bipartite spectral graph partitioning.

[BibT_eX]

[DOI]

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

1999

A Data-Clustering Algorithm on Distributed Memory Multiprocessors.

[BibT_eX]

[DOI]

Proceedings of the Large-Scale Parallel Data Mining, 1999

1998

Reliable Computation of the Condition Number of a Tridiagonal Matrix in O(n) Time.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., July, 1998

1997

Practical Experience in the Numerical Dangers of Heterogeneous Computing.

[BibT_eX]

[DOI]

ACM Trans. Math. Softw., 1997

Application of a New Algorithm for the Symmetric Eigenproblem to Computational Quantum Chemistry.

[BibT_eX]

George Fann