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David Blei

Princeton University

Variational Combinatorial Sequential Monte Carlo Methods for Bayesian Phylogenetic Inference


Jun 17, 2021
Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth, Hadiah Venner, David Blei, Itsik Pe'er

* 15 pages, 9 figures 

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Hierarchical Inducing Point Gaussian Process for Inter-domain Observations


Feb 28, 2021
Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, David Blei, John Cunningham


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Invariant Representation Learning for Treatment Effect Estimation


Nov 24, 2020
Claudia Shi, Victor Veitch, David Blei


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Markovian Score Climbing: Variational Inference with KL(p||q)


Mar 23, 2020
Christian A. Naesseth, Fredrik Lindsten, David Blei


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General linear-time inference for Gaussian Processes on one dimension


Mar 11, 2020
Jackson Loper, David Blei, John P. Cunningham, Liam Paninski

* 36 pages, 5 figures, submitted to ICML 

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Counterfactual Inference for Consumer Choice Across Many Product Categories


Jun 06, 2019
Rob Donnelly, Francisco R. Ruiz, David Blei, Susan Athey


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Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data


Jan 22, 2018
Susan Athey, David Blei, Robert Donnelly, Francisco Ruiz, Tobias Schmidt


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Structured Embedding Models for Grouped Data


Sep 28, 2017
Maja Rudolph, Francisco Ruiz, Susan Athey, David Blei


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Dynamic Bernoulli Embeddings for Language Evolution


Mar 23, 2017
Maja Rudolph, David Blei


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Correlated Random Measures


Nov 09, 2016
Rajesh Ranganath, David Blei


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Deep Survival Analysis


Sep 18, 2016
Rajesh Ranganath, Adler Perotte, Noémie Elhadad, David Blei

* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

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Variational Tempering


May 28, 2016
Stephan Mandt, James McInerney, Farhan Abrol, Rajesh Ranganath, David Blei

* Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016), pages 704-712 
* published version, 8 pages, 4 figures 

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Continuous Time Dynamic Topic Models


May 16, 2015
Chong Wang, David Blei, David Heckerman

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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Smoothed Gradients for Stochastic Variational Inference


Nov 18, 2014
Stephan Mandt, David Blei

* Appears in Neural Information Processing Systems, 2014 

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A Nested HDP for Hierarchical Topic Models


Jan 16, 2013
John Paisley, Chong Wang, David Blei, Michael I. Jordan

* Submitted to the workshop track of the International Conference on Learning Representations 2013. It is a short version of a longer paper 

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Learning with Scope, with Application to Information Extraction and Classification


Dec 12, 2012
David Blei, J Andrew Bagnell, Andrew McCallum

* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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A Bayesian Nonparametric Approach to Image Super-resolution


Sep 22, 2012
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David Blei, Ingrid Daubechies

* 30 pages, 11 figures 

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Sparse Stochastic Inference for Latent Dirichlet allocation


Jun 27, 2012
David Mimno, Matt Hoffman, David Blei

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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Variational Bayesian Inference with Stochastic Search


Jun 27, 2012
John Paisley, David Blei, Michael Jordan

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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Nonparametric Bayes Pachinko Allocation


Jun 20, 2012
Wei Li, David Blei, Andrew McCallum

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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Nonparametric variational inference


Jun 18, 2012
Samuel Gershman, Matt Hoffman, David Blei

* ICML2012 

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Multilingual Topic Models for Unaligned Text


May 09, 2012
Jordan Boyd-Graber, David Blei

* Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009) 

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The Stick-Breaking Construction of the Beta Process as a Poisson Process


Apr 19, 2012
John Paisley, David Blei, Michael I. Jordan

* We've updated with the conference version of the paper. Please note that the title has changed 

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The Discrete Infinite Logistic Normal Distribution


Apr 19, 2012
John Paisley, Chong Wang, David Blei

* This paper will appear in Bayesian Analysis. A shorter version of this paper appeared at AISTATS 2011, Fort Lauderdale, FL, USA 

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