David M. Blei

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

An Adaptive Learning Rate for Stochastic Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Stick-Breaking Beta Processes and the Poisson Process.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

The Issue-Adjusted Ideal Point Model

[BibT_eX]

[DOI]

CoRR, 2012

A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process

[BibT_eX]

[DOI]

CoRR, 2012

Probabilistic topic models.

[BibT_eX]

[DOI]

Commun. ACM, 2012

Truncation-free Online Variational Inference for Bayesian Nonparametric Models.

[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

Scalable Inference of Overlapping Communities.

[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

How They Vote: Issue-Adjusted Models of Legislative Behavior.

[BibT_eX]

[DOI]

Allison June-Barlow Chaney

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

Visualizing Topic Models.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Variational Bayesian Inference with Stochastic Search.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Sparse stochastic inference for latent Dirichlet allocation.

[BibT_eX]

[DOI]

David M. Mimno

Proceedings of the 29th International Conference on Machine Learning, 2012

Nonparametric variational inference.

[BibT_eX]

[DOI]

Samuel Gershman

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

A topographic latent source model for fMRI data.

[BibT_eX]

[DOI]

NeuroImage, 2011

Online Variational Inference for the Hierarchical Dirichlet Process.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Dirichlet Process Mixtures of Generalized Linear Models.

[BibT_eX]

[DOI]

Lauren Hannah

Warren B. Powell

J. Mach. Learn. Res., 2011

Distance Dependent Chinese Restaurant Processes.

[BibT_eX]

[DOI]

Peter I. Frazier

J. Mach. Learn. Res., 2011

Spatial distance dependent Chinese restaurant processes for image segmentation.

[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

Collaborative topic modeling for recommending scientific articles.

[BibT_eX]

[DOI]

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

Variational Inference for Stick-Breaking Beta Process Priors.

[BibT_eX]

[DOI]

Lawrence Carin

Proceedings of the 28th International Conference on Machine Learning, 2011

Predicting Legislative Roll Calls from Text.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Bayesian Checking for Topic Models.

[BibT_eX]

[DOI]

David M. Mimno

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010

Probabilistic Topic Models.

[BibT_eX]

[DOI]

Lawrence Carin

David B. Dunson

IEEE Signal Process. Mag., 2010

Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies.

[BibT_eX]

[DOI]

Thomas L. Griffiths

J. ACM, 2010

Online Learning for Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Francis R. Bach

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

Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable.

[BibT_eX]

[DOI]

Lauren Hannah

Warren B. Powell

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

Variational Inference for Adaptor Grammars.

[BibT_eX]

[DOI]

Shay B. Cohen

Noah A. Smith

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling.

[BibT_eX]

[DOI]

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

Bayesian Nonparametric Matrix Factorization for Recorded Music.

[BibT_eX]

[DOI]

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

A Language-based Approach to Measuring Scholarly Impact.

[BibT_eX]

[DOI]

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

Building and using a semantivisual image hierarchy.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Markov Topic Models.

[BibT_eX]

[DOI]

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

Relational Topic Models for Document Networks.

[BibT_eX]

[DOI]

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

Multilingual Topic Models for Unaligned Text.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process.

[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

Variational Inference for the Nested Chinese Restaurant Process.

[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

A Bayesian Analysis of Dynamics in Free Recall.

[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

Reading Tea Leaves: How Humans Interpret Topic Models.

[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

Connections between the lines: augmenting social networks with text.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Easy As CBA: A Simple Probabilistic Model for Tagging Music.

[BibT_eX]

[DOI]

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Bayesian Spectral Matching: Turning Young MC into MC Hammer via MCMC Sampling.

[BibT_eX]

[DOI]

Proceedings of the 2009 International Computer Music Conference, 2009

Simultaneous image classification and annotation.

[BibT_eX]

[DOI]

Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Mixed Membership Stochastic Blockmodels.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

Continuous Time Dynamic Topic Models.

[BibT_eX]

[DOI]

David Heckerman

Proceedings of the UAI 2008, 2008

Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Indraneel Mukherjee

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

Syntactic Topic Models.

[BibT_eX]

[DOI]

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

Content-Based Musical Similarity Computation using the Hierarchical Dirichlet Process.

[BibT_eX]

[DOI]

Proceedings of the ISMIR 2008, 2008

Data-Driven Recomposition using the Hierarchical Dirichlet Process Hidden Markov Model.

[BibT_eX]

[DOI]

Proceedings of the 2008 International Computer Music Conference, 2008

2007

Nonparametric Bayes Pachinko Allocation.

[BibT_eX]

[DOI]

Wei Li

Andrew McCallum

Proceedings of the UAI 2007, 2007

PU-BCD: Exponential Family Models for the Coarse- and Fine-Grained All-Words Tasks.

[BibT_eX]

[DOI]

Miroslav Dudík

Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Semantic Evaluations, 2007

Supervised Topic Models.

[BibT_eX]

[DOI]

Jon D. McAuliffe

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Hierarchical maximum entropy density estimation.

[BibT_eX]

[DOI]

Miroslav Dudík

Robert E. Schapire

Proceedings of the Machine Learning, 2007

A Computational Approach to Style in American Poetry.

[BibT_eX]

[DOI]

David M. Kaplan

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Topic Model for Word Sense Disambiguation.

[BibT_eX]

[DOI]

Xiaojin Zhu

Proceedings of the EMNLP-CoNLL 2007, 2007

2006

Nonparametric empirical Bayes for the Dirichlet process mixture model.

[BibT_eX]

[DOI]

Jon D. McAuliffe

Stat. Comput., 2006

Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span.

[BibT_eX]

[DOI]

BMC Bioinform., 2006

Dynamic topic models.

[BibT_eX]

[DOI]

John D. Lafferty

Proceedings of the Machine Learning, 2006

Panel Discussion.

[BibT_eX]

[DOI]

Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

2005

Correlated Topic Models.

[BibT_eX]

[DOI]

John D. Lafferty

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

A latent mixed membership model for relational data.

[BibT_eX]

[DOI]

Proceedings of the 3rd international workshop on Link discovery, 2005

2004

Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes.

[BibT_eX]

[DOI]

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

Integrating Topics and Syntax.

[BibT_eX]

[DOI]

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

Variational methods for the Dirichlet process.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

2003

Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Andrew Y. Ng

J. Mach. Learn. Res., 2003

Matching Words and Pictures.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2003

Modeling annotated data.

[BibT_eX]

[DOI]

Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Hierarchical Topic Models and the Nested Chinese Restaurant Process.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Learning with Scope, with Application to Information Extraction and Classification.

[BibT_eX]

[DOI]

J. Andrew Bagnell

Andrew McCallum

Proceedings of the UAI '02, 2002

2001

Topic Segmentation with an Aspect Hidden Markov Model.

[BibT_eX]

[DOI]