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All publications by David M. Blei
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How They Vote: Issue-Adjusted Models of Legislative Behavior
Sean Gerrish and David M. Blei
Advances in Neural Information Processing Systems 25, 2012


Scalable Inference of Overlapping Communities
Prem Gopalan, Sean Gerrish, Michael Freedman, David M. Blei and David M. Mimno
Advances in Neural Information Processing Systems 25, 2012


Truncation-free Online Variational Inference for Bayesian Nonparametric Models
Chong Wang and David M. Blei
Advances in Neural Information Processing Systems 25, 2012


Variational Bayesian Inference with Stochastic Search
David M. Blei, Michael I. Jordan and John W. Paisley
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Sparse stochastic inference for latent Dirichlet allocation
Matt Hoffman, David M. Blei and David M. Mimno
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Nonparametric variational inference
Samuel Gershman, Matt Hoffman and David M. Blei
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Stick-Breaking Beta Processes and the Poisson Process
John W. Paisley, David M. Blei and Michael I. Jordan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei B. Ungureanu, Erik B. Sudderth and David M. Blei
Advances in Neural Information Processing Systems 24, 2011


Variational Inference for Stick-Breaking Beta Process Priors
Lawrence Carin, David M. Blei and John W. Paisley
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Minimal Loss Hashing for Compact Binary Codes
Mohammad Norouzi and David M. Blei
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Predicting Legislative Roll Calls from Text
Sean Gerrish and David M. Blei
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Online Variational Inference for the Hierarchical Dirichlet Process
Chong Wang, John W. Paisley and David M. Blei
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
John W. Paisley, Chong Wang and David M. Blei
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling
Sinead Williamson, Chong Wang, Katherine A. Heller and David M. Blei
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Bayesian Nonparametric Matrix Factorization for Recorded Music
David M. Blei, Perry R. Cook and Matthew Hoffman
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


A Language-based Approach to Measuring Scholarly Impact
Sean Gerrish and David M. Blei
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Distance dependent Chinese restaurant processes
David M. Blei and Peter Frazier
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Online Learning for Latent Dirichlet Allocation
Matthew Hoffman, Francis R. Bach and David M. Blei
Advances in Neural Information Processing Systems 23, 2010


Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
Abhinav Gupta, Martial Hebert, Takeo Kanade and David M. Blei
Advances in Neural Information Processing Systems 23, 2010


Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
Lauren Hannah, Warren Powell and David M. Blei
Advances in Neural Information Processing Systems 23, 2010


Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net
Alexander Lorbert, David Eis, Victoria Kostina, David M. Blei and Peter J. Ramadge
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Dirichlet Process Mixtures of Generalized Linear Models
Lauren Hannah, David M. Blei and Warren B. Powell
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


A Bayesian Analysis of Dynamics in Free Recall
Richard Socher, Samuel Gershman, Per Sederberg, Kenneth Norman, Adler J. Perotte and David M. Blei
Advances in Neural Information Processing Systems 22, 2009


Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
Chong Wang and David M. Blei
Advances in Neural Information Processing Systems 22, 2009


Variational Inference for the Nested Chinese Restaurant Process
Chong Wang and David M. Blei
Advances in Neural Information Processing Systems 22, 2009


Reading Tea Leaves: How Humans Interpret Topic Models
Jonathan Chang, Sean Gerrish, Chong Wang, Jordan L. Boyd-graber and David M. Blei
Advances in Neural Information Processing Systems 22, 2009


Markov Topic Models
Chong Wang, Bo Thiesson, Christopher Meek and David M. Blei
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Relational Topic Models for Document Networks
Jonathan Chang and David M. Blei
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg and Eric P. Xing
Journal of Machine Learning Research, 2008


Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Indraneel Mukherjee and David M. Blei
Advances in Neural Information Processing Systems 21, 2008


Syntactic Topic Models
Jordan L. Boyd-graber and David M. Blei
Advances in Neural Information Processing Systems 21, 2008


Mixed Membership Stochastic Blockmodels
Edoardo M. Airoldi, David M. Blei, Stephen E. Fienberg and Eric P. Xing
Advances in Neural Information Processing Systems 21, 2008


Hierarchical maximum entropy density estimation
Miroslav Dudík, David M. Blei and Robert E. Schapire
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Supervised Topic Models
Jon D. Mcauliffe and David M. Blei
Advances in Neural Information Processing Systems 20, 2007


Dynamic topic models
David M. Blei and John D. Lafferty
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Correlated Topic Models
John D. Lafferty and David M. Blei
Advances in Neural Information Processing Systems 18, 2005


Gaussian Process Dynamical Models
Jack Wang, Aaron Hertzmann and David M. Blei
Advances in Neural Information Processing Systems 18, 2005


Variational methods for the Dirichlet process
David M. Blei and Michael I. Jordan
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
Yee W. Teh, Michael I. Jordan, Matthew J. Beal and David M. Blei
Advances in Neural Information Processing Systems 17, 2004


Integrating Topics and Syntax
Thomas L. Griffiths, Mark Steyvers, David M. Blei and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 17, 2004


Hierarchical Topic Models and the Nested Chinese Restaurant Process
Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum and David M. Blei
Advances in Neural Information Processing Systems 16, 2003


Latent Dirichlet Allocation
David M. Blei, Andrew Y. Ng and Michael I. Jordan
Journal of Machine Learning Research, 2003


Matching Words and Pictures
Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando D. Freitas, David M. Blei and Michael I. Jordan
Journal of Machine Learning Research, 2003


Latent Dirichlet Allocation
David M. Blei, Andrew Y. Ng and Michael I. Jordan
Advances in Neural Information Processing Systems 14, 2001