← All authors David M. Blei Columbia University (from arXiv:2302.12777, 2023) · ORCID · OpenAlex
63 papers in scope · 60 published · 5 on the econ.EM arXiv · 38,493 citations · h-index 27 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Francisco J. R. Ruiz Tianyu Du Ayush Kanodia Daniel Brunner Anna B. Schmidt Florian Heiß Keyon Vafa Susan Athey Herman Brunborg Jason Hawkins Omid Armantalab Joshua Mabry Ali Arian Yu Xia Sriram Narayanamoorthy Claudia Shi Austin R. Benson Guido W. Imbens Kiran Tomlinson Vishal Misra Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (7 of 63)
published 2025 · Proceedings of the National Academy of Sciences · 3 citations · first circulated 2024
Causal fairness assessment of treatment allocation with electronic health records
published 2024 · Journal of Biomedical Informatics · 8 citations · first circulated 2022
with Linying Zhang, Lauren R. Richter, Zhaoran Wang, Anna Ostropolets, Noémie Elhadad, George Hripcsak
Holdout predictive checks for Bayesian model criticism
published 2023 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 11 citations
with Gemma E. Moran, Rajesh Ranganath
working paper 2023 · arXiv
Mapping interstellar dust with Gaussian processes
published 2022 · The Annals of Applied Statistics · 2 citations
with Andrew C. Miller, Lauren Anderson, Boris Leistedt, John P. Cunningham, David W. Hogg, Andrew Miller
Adjusting for indirectly measured confounding using large-scale propensity score
published 2022 · Journal of Biomedical Informatics · 49 citations · first circulated 2021
with Linying Zhang, Zhaoran Wang, Martijn J. Schuemie, George Hripcsak
Conformal Sensitivity Analysis for Individual Treatment Effects
published 2022 · Journal of the American Statistical Association · 3 citations · first circulated 2021
A Bayesian model of dose-response for cancer drug studies
published 2022 · The Annals of Applied Statistics · 5 citations · first circulated 2019
with Wesley Tansey, Christopher Tosh
The Posterior Predictive Null
published 2022 · Bayesian Analysis · 5 citations · first circulated 2021
with Gemma E. Moran, John P. Cunningham
working paper 2022 · arXiv · 3 citations
working paper 2021 · arXiv
published 2021 · Quantitative Marketing and Economics · 20 citations · first circulated 2019
A Proxy Variable View of Shared Confounding
published 2021 · International Conference on Machine Learning · 1 citations
with Zhaoran Wang
no link
The Holdout Randomization Test for Feature Selection in Black Box Models
published 2021 · Journal of Computational and Graphical Statistics · 22 citations · first circulated 2018
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations
published 2021 · International Conference on Artificial Intelligence and Statistics · 1 citations
with Luhuan Wu, Andrew Miller, Lauren Anderson, Geoff Pleiss, John P. Cunningham, Andrew C. Miller
A general linear-time inference method for Gaussian Processes on one dimension
published 2021 · Journal of Machine Learning Research · 7 citations · first circulated 2020
with Jackson Loper, John P. Cunningham, Liam Paninski
Double Empirical Bayes Testing
published 2020 · International Statistical Review · 2 citations
with Wesley Tansey, Zhaoran Wang, Raúl Rabadán
Dose–response modeling in high-throughput cancer drug screenings: an end-to-end approach
published 2020 · Biostatistics · 3 citations
with Wesley Tansey, Kathy Li, Haoran Zhang, Scott W. Linderman, Raúl Rabadán, Chris H. Wiggins
Adapting Text Embeddings for Causal Inference
published 2020 · Uncertainty in Artificial Intelligence · 52 citations · first circulated 2019
published 2020 · The Annals of Applied Statistics · 35 citations · first circulated 2017
Markovian Score Climbing: Variational Inference with KL(p||q)
published 2020 · Neural Information Processing Systems · 12 citations
with Christian A. Naesseth, Fredrik Lindsten
Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations.
published 2020 · AMIA
no link
The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures.
published 2020 · AMIA
with Linying Zhang, Zhaoran Wang, Anna Ostropolets, Ruijun Chen, George Hripcsak
no link
The Blessings of Multiple Causes
published 2019 · Journal of the American Statistical Association · 209 citations · first circulated 2018
with Zhaoran Wang
The Blessings of Multiple Causes: Rejoinder
published 2019 · Journal of the American Statistical Association · 8 citations
with Zhaoran Wang
Comment: Variational Autoencoders as Empirical Bayes
published 2019 · Statistical Science · 7 citations
with Zhaoran Wang, Andrew C. Miller
Using Embeddings to Correct for Unobserved Confounding in Networks
published 2019 · Neural Information Processing Systems · 21 citations
Noisin: Unbiased Regularization for Recurrent Neural Networks
published 2018 · International Conference on Machine Learning · 15 citations
with Adji Bousso Dieng, Rajesh Ranganath, Jaan Altosaar
Black Box FDR
published 2018 · International Conference on Machine Learning · 4 citations
with Wesley Tansey, Zhaoran Wang, Raúl Rabadán, Yixin Wang
Frequentist Consistency of Variational Bayes
published 2018 · Journal of the American Statistical Association · 187 citations
with Zhaoran Wang
published 2018 · AEA Papers and Proceedings · 17 citations
Readmission prediction via deep contextual embedding of clinical concepts
published 2018 · PLoS ONE · 128 citations
with Cao Xiao, Tengfei Ma, Adji Bousso Dieng, Fei Wang
Variational Sequential Monte Carlo
published 2018 · International Conference on Artificial Intelligence and Statistics · 76 citations · first circulated 2017
with Christian A. Naesseth, Scott W. Linderman, Rajesh Ranganath, Antonio Khalil Moretti, Liyi Zhang, Hadiah Venner, Itsik Pe'er, Li-Yi Zhang, Itsik Pe’er
A General Method for Robust Bayesian Modeling
published 2018 · Bayesian Analysis · 51 citations · first circulated 2015
with Chong Wang
Comment: A Discussion of “Nonparametric Bayes Modeling of Populations of Networks”
published 2017 · Journal of the American Statistical Association
with Scott W. Linderman
Zero-Inflated Exponential Family Embeddings
published 2017 · International Conference on Machine Learning · 4 citations
with Liping Liu
no link
Evaluating Bayesian Models with Posterior Dispersion Indices
published 2017 · International Conference on Machine Learning · 2 citations
with Alp Kucukelbir, Zhaoran Wang
no link
Comment
published 2017 · Journal of the American Statistical Association · 1 citations
with Dustin Tran
Stochastic Gradient Descent as Approximate Bayesian Inference
published 2017 · Journal of Machine Learning Research · 361 citations
with Stephan Mandt, Matthew D. Hoffman
Correlated Random Measures
published 2016 · Journal of the American Statistical Association · 11 citations · first circulated 2015
with Rajesh Ranganath
Operator variational inference
published 2016 · Neural Information Processing Systems · 40 citations
with Rajesh Ranganath, Jaan Altosaar, Dustin Tran
Comment
published 2016 · Journal of the American Statistical Association
Bayesian Poisson tucker decomposition for learning the structure of international relations
published 2016 · International Conference on Machine Learning · 32 citations
The population posterior and Bayesian modeling on streams
published 2015 · Neural Information Processing Systems · 25 citations
with James O. McInerney, Rajesh Ranganath
no link
Population empirical Bayes
published 2015 · Uncertainty in Artificial Intelligence · 8 citations · first circulated 2014
with Alp Kucukelbir
Content-based recommendations with Poisson factorization
published 2014 · Neural Information Processing Systems · 162 citations
with Prem Gopalan, Laurent Charlin
no link
Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data
published 2014 · PLoS ONE · 44 citations
with Jeremy R. Manning, Rajesh Ranganath, Kenneth A. Norman
Build, Compute, Critique, Repeat: Data Analysis with Latent Variable Models
published 2014 · Annual Review of Statistics and Its Application · 170 citations
Comment
published 2013 · Journal of the American Statistical Association
Stochastic variational inference
published 2013 · Journal of Machine Learning Research · 1491 citations · first circulated 2012
with Matthew D. Hoffman, Chong Wang, John Paisley, Matt Hoffman
The Discrete Infinite Logistic Normal Distribution
published 2012 · Bayesian Analysis · 49 citations · first circulated 2011
with John Paisley, Chong Wang
Truncation-free Online Variational Inference for Bayesian Nonparametric Models
published 2012 · Neural Information Processing Systems · 44 citations
with Chong Wang
no link
A tutorial on Bayesian nonparametric models
published 2011 · Journal of Mathematical Psychology · 621 citations
with Samuel J. Gershman
Variational Inference for Stick-Breaking Beta Process Priors
published 2011 · International Conference on Machine Learning · 27 citations
with Lawrence Carin, John Paisley
no link
Dirichlet Process Mixtures of Generalized Linear Models
published 2011 · Journal of Machine Learning Research · 153 citations · first circulated 2009
with Lauren A. Hannah, Warren B. Powell
Bayesian Nonparametric Matrix Factorization for Recorded Music
published 2010 · International Conference on Machine Learning · 131 citations
with Perry R. Cook, Matthew D. Hoffman
no link
Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net
published 2010 · International Conference on Artificial Intelligence and Statistics · 31 citations
with Alexander Lorbert, David J. Eis, Victoria Kostina, Peter J. Ramadge
no link
Hierarchical Dirichlet Processes
published 2006 · Journal of the American Statistical Association · 3573 citations
Variational inference for Dirichlet process mixtures
published 2006 · Bayesian Analysis · 1482 citations
Nonparametric empirical Bayes for the Dirichlet process mixture model
published 2006 · Statistics and Computing · 130 citations
Correlated Topic Models
published 2005 · Neural Information Processing Systems · 931 citations
with John Lafferty
no link
Hierarchical Topic Models and the Nested Chinese Restaurant Process
published 2003 · Neural Information Processing Systems · 939 citations
no link
Latent dirichlet allocation
published 2003 · Journal of Machine Learning Research · 27064 citations · first circulated 2002
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