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Variational Inference: A Review for Statisticians

Journal of the American Statistical Association, 2017-06, Vol.112 (518), p.859-877

2017

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Science and data science

Proceedings of the National Academy of Sciences - PNAS, 2017-08, Vol.114 (33), p.8689-8692

2017

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Efficient discovery of overlapping communities in massive networks

Proceedings of the National Academy of Sciences - PNAS, 2013-09, Vol.110 (36), p.14534-14539

2013

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Topic Modeling in Embedding Spaces

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.439-453

2020

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A tutorial on Bayesian nonparametric models

Journal of mathematical psychology, 2012-02, Vol.56 (1), p.1-12

2012

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Readmission prediction via deep contextual embedding of clinical concepts

PloS one, 2018-04, Vol.13 (4), p.e0195024-e0195024

2018

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The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies

Journal of the ACM, 2010, Vol.57 (2), p.1-30

2010

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A Correlated Topic Model of Science

The annals of applied statistics, 2007-06, Vol.1 (1), p.17-35

2007

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Measuring discursive influence across scholarship

Proceedings of the National Academy of Sciences - PNAS, 2018-03, Vol.115 (13), p.3308-3313

2018

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Frequentist Consistency of Variational Bayes

Journal of the American Statistical Association, 2019-07, Vol.114 (527), p.1147-1161

2019

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The Blessings of Multiple Causes

Journal of the American Statistical Association, 2019-10, Vol.114 (528), p.1574-1596

2019

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Scaling probabilistic models of genetic variation to millions of humans

Nature genetics, 2016-12, Vol.48 (12), p.1587-1590

2016

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De novo gene signature identification from single‐cell RNA‐seq with hierarchical Poisson factorization

Molecular systems biology, 2019-02, Vol.15 (2), p.e8557-n/a

2019

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HIERARCHICAL RELATIONAL MODELS FOR DOCUMENT NETWORKS

The annals of applied statistics, 2010-03, Vol.4 (1), p.124-150

2010

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Topographic factor analysis: a Bayesian model for inferring brain networks from neural data

PloS one, 2014-05, Vol.9 (5), p.e94914-e94914

2014

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The Blessings of Multiple Causes: Rejoinder

Journal of the American Statistical Association, 2019-10, Vol.114 (528), p.1616-1619

2019

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Nested Hierarchical Dirichlet Processes

IEEE transactions on pattern analysis and machine intelligence, 2015-02, Vol.37 (2), p.256-270

2015

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Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure

Proceedings of the National Academy of Sciences - PNAS, 2015-06, Vol.112 (26), p.E3441-E3450

2015

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Conformal Sensitivity Analysis for Individual Treatment Effects

Journal of the American Statistical Association, 2024-01, Vol.119 (545), p.122-135

2024

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Context, Learning, and Extinction

Psychological review, 2010-01, Vol.117 (1), p.197-209

2010

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Mixed Membership Stochastic Blockmodels

Journal of machine learning research, 2008-09, Vol.9, p.1981-2014

2008

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Holdout predictive checks for Bayesian model criticism

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2024-02, Vol.86 (1), p.194-214

2024

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The Holdout Randomization Test for Feature Selection in Black Box Models

Journal of computational and graphical statistics, 2022-01, Vol.31 (1), p.151-162

2022

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Hierarchical Dirichlet Processes

Journal of the American Statistical Association, 2006-12, Vol.101 (476), p.1566-1581

2006

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Correlated Random Measures

Journal of the American Statistical Association, 2018-01, Vol.113 (521), p.417-430

2018

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Variational Inference: A Review for Statisticians

Science and data science

Efficient discovery of overlapping communities in massive networks

Topic Modeling in Embedding Spaces

A tutorial on Bayesian nonparametric models

Readmission prediction via deep contextual embedding of clinical concepts

The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies

A Correlated Topic Model of Science

Measuring discursive influence across scholarship

Frequentist Consistency of Variational Bayes

The Blessings of Multiple Causes

Scaling probabilistic models of genetic variation to millions of humans

De novo gene signature identification from single‐cell RNA‐seq with hierarchical Poisson factorization

HIERARCHICAL RELATIONAL MODELS FOR DOCUMENT NETWORKS

Topographic factor analysis: a Bayesian model for inferring brain networks from neural data

The Blessings of Multiple Causes: Rejoinder

Nested Hierarchical Dirichlet Processes

Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure

Conformal Sensitivity Analysis for Individual Treatment Effects

Context, Learning, and Extinction

Mixed Membership Stochastic Blockmodels

Holdout predictive checks for Bayesian model criticism

The Holdout Randomization Test for Feature Selection in Black Box Models

Hierarchical Dirichlet Processes

Correlated Random Measures

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