Publications by authors named "David M Blei"

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Estimating wage disparities using foundation models.
Keyon Vafa, Susan Athey, David M Blei

Proc Natl Acad Sci U S A· June 2025

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Causal fairness assessment of treatment allocation with electronic health records.
Linying Zhang, Lauren R Richter, Yixin Wang, Anna Ostropolets, Noémie Elhadad, David M Blei

J Biomed Inform· July 2024

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Adjusting for indirectly measured confounding using large-scale propensity score.
Linying Zhang, Yixin Wang, Martijn J Schuemie, David M Blei, George Hripcsak

J Biomed Inform· October 2022

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Causal inference from text: A commentary.
Dhanya Sridhar, David M Blei

Sci Adv· October 2022

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Dose-response modeling in high-throughput cancer drug screenings: an end-to-end approach.
Wesley Tansey, Kathy Li, Haoran Zhang, Scott W Linderman, Raul Rabadan, David M Blei

Biostatistics· April 2022

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Double Empirical Bayes Testing.
Wesley Tansey, Yixin Wang, Raul Rabadan, David M Blei

Int Stat Rev· December 2020

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gene signature identification from single-cell RNA-seq with hierarchical Poisson factorization.
Hanna Mendes Levitin, Jinzhou Yuan, Yim Ling Cheng, Francisco Jr Ruiz, Erin C Bush, David M Blei

Mol Syst Biol· February 2019

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A probabilistic approach to discovering dynamic full-brain functional connectivity patterns.
Jeremy R Manning, Xia Zhu, Theodore L Willke, Rajesh Ranganath, Kimberly Stachenfeld, David M Blei

Neuroimage· October 2018

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Readmission prediction via deep contextual embedding of clinical concepts.
Cao Xiao, Tengfei Ma, Adji B Dieng, David M Blei, Fei Wang

PLoS One· July 2018

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Measuring discursive influence across scholarship.
Aaron Gerow, Yuening Hu, Jordan Boyd-Graber, David M Blei, James A Evans

Proc Natl Acad Sci U S A· March 2018

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Science and data science.
David M Blei, Padhraic Smyth

Proc Natl Acad Sci U S A· August 2017

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Scaling probabilistic models of genetic variation to millions of humans.
Prem Gopalan, Wei Hao, David M Blei, John D Storey

Nat Genet· December 2016

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Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure.
David Mimno, David M Blei, Barbara E Engelhardt

Proc Natl Acad Sci U S A· June 2015

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Nested Hierarchical Dirichlet Processes.
John Paisley, Chong Wang, David M Blei, Michael I Jordan

IEEE Trans Pattern Anal Mach Intell· February 2015

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Distance Dependent Infinite Latent Feature Models.
Samuel J Gershman, Peter I Frazier, David M Blei

IEEE Trans Pattern Anal Mach Intell· February 2015

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Topographic factor analysis: a Bayesian model for inferring brain networks from neural data.
Jeremy R Manning, Rajesh Ranganath, Kenneth A Norman, David M Blei

PLoS One· January 2015

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Decomposing spatiotemporal brain patterns into topographic latent sources.
Samuel J Gershman, David M Blei, Kenneth A Norman, Per B Sederberg

Neuroimage· September 2014

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Efficient discovery of overlapping communities in massive networks.
Prem K Gopalan, David M Blei

Proc Natl Acad Sci U S A· September 2013

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A topographic latent source model for fMRI data.
Samuel J Gershman, David M Blei, Francisco Pereira, Kenneth A Norman

Neuroimage· July 2011

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Context, learning, and extinction.
Samuel J Gershman, David M Blei, Yael Niv

Psychol Rev· January 2010

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Mixed Membership Stochastic Blockmodels.
Edoardo M Airoldi, David M Blei, Stephen E Fienberg, Eric P Xing

J Mach Learn Res· September 2008

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