NIPS 2010

2014 Workshop: Advances in Variational Inference »
David Blei · Shakir Mohamed · Michael Jordan · Charles Blundell · Tamara Broderick · Matthew D. Hoffman

2014 Poster: A Filtering Approach to Stochastic Variational Inference »
Neil Houlsby · David Blei

2014 Poster: Smoothed Gradients for Stochastic Variational Inference »
Stephan Mandt · David Blei

2014 Poster: Content-based recommendations with Poisson factorization »
Prem Gopalan · Laurent Charlin · David Blei

2013 Workshop: Topic Models: Computation, Application, and Evaluation »
David Mimno · Amr Ahmed · Jordan Boyd-Graber · Ankur Moitra · Hanna Wallach · Alexander Smola · David Blei · Anima Anandkumar

2013 Workshop: Probabilistic Models for Big Data »
Neil D Lawrence · Joaquin Quiñonero-Candela · Tianshi Gao · James Hensman · Zoubin Ghahramani · Max Welling · David Blei · Ralf Herbrich

2013 Poster: Efficient Online Inference for Bayesian Nonparametric Relational Models »
Dae Il Kim · Prem Gopalan · David Blei · Erik Sudderth

2013 Poster: Modeling Overlapping Communities with Node Popularities »
Prem Gopalan · Chong Wang · David Blei

2012 Poster: Truncation-free Online Variational Inference for Bayesian Nonparametric Models »
Chong Wang · David Blei

2012 Poster: Scalable Inference of Overlapping Communities »
Prem Gopalan · David Mimno · Sean Gerrish · Michael Freedman · David Blei

2012 Spotlight: Scalable Inference of Overlapping Communities »
Prem Gopalan · David Mimno · Sean Gerrish · Michael Freedman · David Blei

2012 Poster: How They Vote: Issue-Adjusted Models of Legislative Behavior »
Sean Gerrish · David Blei

2011 Poster: Spatial distance dependent Chinese Restaurant Process for image segmentation »
Soumya Ghosh · Andrei B Ungureanu · Erik Sudderth · David Blei

2010 Spotlight: Online Learning for Latent Dirichlet Allocation »
Matthew D. Hoffman · David Blei · Francis Bach

2010 Poster: Online Learning for Latent Dirichlet Allocation »
Matthew D. Hoffman · David Blei · Francis Bach

2010 Poster: Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable »
Lauren A Hannah · Warren B Powell · David Blei

2009 Workshop: Applications for Topic Models: Text and Beyond »
David Blei · Jordan Boyd-Graber · Jonathan Chang · Katherine Heller · Hanna Wallach

2009 Poster: Reading Tea Leaves: How Humans Interpret Topic Models »
Jonathan Chang · Jordan Boyd-Graber · Sean Gerrish · Chong Wang · David Blei

2009 Oral: Reading Tea Leaves: How Humans Interpret Topic Models »
Jonathan Chang · Jordan Boyd-Graber · Sean Gerrish · Chong Wang · David Blei

2009 Poster: Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process »
Chong Wang · David Blei

2009 Spotlight: Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process »
Chong Wang · David Blei

2009 Poster: Variational Inference for the Nested Chinese Restaurant Process »
Chong Wang · David Blei

2009 Poster: A Bayesian Analysis of Dynamics in Free Recall »
Richard Socher · Samuel J Gershman · Adler Perotte · Per Sederberg · David Blei · Kenneth Norman

2008 Workshop: Analyzing Graphs: Theory and Applications »
Edo M Airoldi · David Blei · Jake M Hofman · Tony Jebara · Eric Xing

2008 Poster: Mixed Membership Stochastic Blockmodels »
Edo M Airoldi · David Blei · Stephen E Fienberg · Eric Xing

2008 Spotlight: Mixed Membership Stochastic Blockmodels »
Edo M Airoldi · David Blei · Stephen E Fienberg · Eric Xing

2008 Poster: Syntactic Topic Models »
Jordan Boyd-Graber · David Blei

2008 Poster: Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation »
Indraneel Mukherjee · David Blei

2008 Spotlight: Syntactic Topic Models »
Jordan Boyd-Graber · David Blei

2008 Spotlight: Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation »
Indraneel Mukherjee · David Blei

2007 Poster: Supervised Topic Models »
David Blei · Jon McAuliffe

Author Information

David Blei (Columbia University)

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