---
title: "David M. Blei — all works — Elamur Research"
description: "All 377 works of David M. Blei in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/david-m-blei/works/"
---
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# David M. Blei — all works

377 works · page 1 of 4 · 1–100 · [← David M. Blei](https://md.research.elamur.ai/free/en/authors/david-m-blei/)

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1. [**Latent Dirichlet Allocation JMLR 3**David M. Blei, Andrew Y. Ng, Michael I. Jordan*2003 · 28,408 citations*](https://md.research.elamur.ai/free/en/papers/blei-2003-latent-dirichlet-allocation/)
2. **[Probabilistic topic models ↗](https://doi.org/10.1145/2133806.2133826) Communications of the ACM · no summary yet**David M. Blei*2012 · 5,505 citations*
3. **[Variational Inference: A Review for Statisticians ↗](https://doi.org/10.1080/01621459.2017.1285773) Journal of the American Statistical Association · no summary yet**David M. Blei, Alp Kucukelbir, Jon D. McAuliffe*2017 · 3,935 citations*
4. [**Hierarchical Dirichlet Processes Journal of the American Statistical Association 101**Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, et al.*2006 · 3,627 citations*](https://md.research.elamur.ai/free/en/papers/teh-2006-hierarchical-dirichlet-processes/)
5. **[Dynamic Topic Models](https://md.research.elamur.ai/free/en/papers/blei-2006-dynamic-topic-models/) [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)**David M. Blei, John D. Lafferty*2006 · 2,520 citations*
6. **[Reading Tea Leaves: How Humans Interpret Topic Models](https://md.research.elamur.ai/free/en/papers/chang-2009-reading-tea-leaves-humans-interpret-topic/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.*2009 · 2,053 citations*
7. **[Collaborative topic modeling for recommending scientific articles ↗](https://doi.org/10.1145/2020408.2020480) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Chong Wang, David M. Blei*2011 · 1,556 citations*
8. **[Stochastic variational inference ↗](https://doi.org/10.5555/2567709.2502622) Journal of Machine Learning Research · no summary yet**Matthew D. Hoffman et al.*2013 · 1,456 citations*
9. **[Online Learning for Latent Dirichlet Allocation ↗](https://openalex.org/W2165599843) no summary yet**Matthew D. Hoffman, David M. Blei, Francis Bach*2010 · 1,333 citations*
10. **[Supervised Topic Models ↗](https://arxiv.org/abs/1003.0783) arXiv (Cornell University) · no summary yet**David M. Blei, Jon McAuliffe*2010 · 1,309 citations*
11. **[Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding ↗](https://doi.org/10.1016/j.poetic.2013.08.004) Poetics · no summary yet**Paul DiMaggio, Manish Nag, David M. Blei*2013 · 1,157 citations*
12. **[A correlated topic model of Science ↗](https://doi.org/10.1184/r1/6587330.v1) no summary yet**David M. Blei, John Lafferty*2018 · 1,088 citations*
13. **[Modeling annotated data ↗](https://doi.org/10.1145/860435.860460) no summary yet**David M. Blei, Michael I. Jordan*2003 · 1,084 citations*
14. **[A correlated topic model of Science ↗](https://doi.org/10.1214/07-aoas114) The Annals of Applied Statistics · no summary yet**David M. Blei, John D. Lafferty*2007 · 992 citations*
15. **[Hierarchical Topic Models and the Nested Chinese Restaurant Process ↗](https://openalex.org/W2132827946) no summary yet**Thomas L. Griffiths et al.*2003 · 986 citations*
16. **[Topic Modeling in Embedding Spaces](https://md.research.elamur.ai/free/en/papers/dieng-2020-topic-modeling-embedding-spaces/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei*2020 · 918 citations*
17. **[Correlated Topic Models ↗](https://openalex.org/W2112050062) neural information processing systems · no summary yet**John Lafferty, David M. Blei*2005 · 886 citations*
18. **[Mixed Membership Stochastic Blockmodels. ↗](https://www.ncbi.nlm.nih.gov/pmc/articles/3119541) PubMed · no summary yet**Edoardo M. Airoldi et al.*2008 · 810 citations*
19. **[The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies ↗](https://doi.org/10.1145/1667053.1667056) Journal of the ACM · no summary yet**David M. Blei, Thomas L. Griffiths, Michael I. Jordan*2007 · 675 citations*
20. **[A tutorial on Bayesian nonparametric models ↗](https://doi.org/10.1016/j.jmp.2011.08.004) Journal of Mathematical Psychology · no summary yet**Samuel J. Gershman, David M. Blei*2011 · 611 citations*
21. **[Integrating Topics and Syntax ↗](https://openalex.org/W2112971401) no summary yet**Thomas L. Griffiths et al.*2004 · 546 citations*
22. **[Simultaneous image classification and annotation ↗](https://doi.org/10.1109/cvpr.2009.5206800) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chong Wang, David M. Blei, Li Fei-Fei*2009 · 527 citations*
23. **[Matching Words and Pictures ↗](https://openalex.org/W7011438494) no summary yet**Kobus Barnard et al.*2003 · 511 citations*
24. **[Relational Topic Models for Document Networks ↗](https://openalex.org/W2123549998) no summary yet**Jonathan Chang, David M. Blei*2009 · 481 citations*
25. **[Probabilistic Topic Models ↗](https://doi.org/10.1109/msp.2010.938079) IEEE Signal Processing Magazine · no summary yet**David M. Blei, Lawrence Carin, David B. Dunson*2010 · 443 citations*
26. **[Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes ↗](https://openalex.org/W2100163972) no summary yet**Yee Whye Teh et al.*2004 · 440 citations*
27. **[Stochastic Gradient Descent as Approximate Bayesian Inference ↗](https://arxiv.org/abs/1704.04289) arXiv (Cornell University) · no summary yet**Stephan Mandt, Matthew D. Hoffman, David M. Blei*2017 · 390 citations*
28. **[Context, learning, and extinction. ↗](https://doi.org/10.1037/a0017808) Psychological Review · no summary yet**Samuel J. Gershman, David M. Blei, Yael Niv*2010 · 375 citations*
29. **[Modeling User Exposure in Recommendation ↗](https://doi.org/10.1145/2872427.2883090) International World Wide Web Conference (WWW) · no summary yet**Dawen Liang et al.*2016 · 369 citations*
30. **[Online Variational Inference for the Hierarchical Dirichlet Process ↗](https://openalex.org/W2187741934) no summary yet**Chong Wang, John William Paisley, David M. Blei*2011 · 330 citations*
31. **[Continuous Time Dynamic Topic Models ↗](https://arxiv.org/abs/1206.3298) arXiv (Cornell University) · no summary yet**Chong Wang, David M. Blei, David E. Heckerman*2012 · 319 citations*
32. **[Variational Bayesian Inference with Stochastic Search ↗](https://arxiv.org/abs/1206.6430) arXiv (Cornell University) · no summary yet**John William Paisley, David M. Blei, Michael I. Jordan*2012 · 300 citations*
33. **[Hierarchical relational models for document networks ↗](https://doi.org/10.1214/09-aoas309) The Annals of Applied Statistics · no summary yet**Jonathan Chang, David M. Blei*2010 · 264 citations*
34. **[Factorization Meets the Item Embedding ↗](https://doi.org/10.1145/2959100.2959182) ACM Conference on Recommender Systems (RecSys) · no summary yet**Dawen Liang et al.*2016 · 244 citations*
35. **[Nested Hierarchical Dirichlet Processes ↗](https://doi.org/10.1109/tpami.2014.2318728) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**John William Paisley et al.*2012 · 234 citations*
36. **[Edward: A library for probabilistic modeling, inference, and criticism ↗](https://arxiv.org/abs/1610.09787) arXiv:1610.09787 · no summary yet**Dustin Tran et al.*2016 · 217 citations*
37. **[The Blessings of Multiple Causes ↗](https://doi.org/10.1080/01621459.2019.1686987) Journal of the American Statistical Association · no summary yet**Zhaoran Wang, David M. Blei*2019 · 215 citations*
38. **[Automatic Differentiation Variational Inference ↗](https://arxiv.org/abs/1603.00788) arXiv (Cornell University) · no summary yet**Alp Kucukelbir et al.*2016 · 213 citations*
39. **[Scalable recommendation with hierarchical Poisson factorization ↗](https://openalex.org/W2403286959) no summary yet**Prem Gopalan, Jake M. Hofman, David M. Blei*2015 · 199 citations*
40. **[Topic segmentation with an aspect hidden Markov model ↗](https://doi.org/10.1145/383952.384021) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**David M. Blei, Pedro J. Moreno*2001 · 185 citations*
41. **[Syntactic Topic Models ↗](https://arxiv.org/abs/1002.4665) arXiv (Cornell University) · no summary yet**Jordan Lee Boyd-Graber, David M. Blei*2010 · 183 citations*
42. **[Frequentist Consistency of Variational Bayes ↗](https://doi.org/10.1080/01621459.2018.1473776) Journal of the American Statistical Association · no summary yet**Zhaoran Wang, David M. Blei*2018 · 179 citations*
43. **[Dynamic Embeddings for Language Evolution ↗](https://doi.org/10.1145/3178876.3185999) no summary yet**Maja Rudolph, David M. Blei*2018 · 178 citations*
44. **[Predicting Legislative Roll Calls from Text ↗](https://openalex.org/W2145767445) no summary yet**Sean Gerrish, David M. Blei*2011 · 175 citations*
45. **[Variational Inference in Nonconjugate Models ↗](https://arxiv.org/abs/1209.4360) arXiv (Cornell University) · no summary yet**Chong Wang, David M. Blei*2012 · 174 citations*
46. **[A Probabilistic Model for Using Social Networks in Personalized Item Recommendation ↗](https://doi.org/10.1145/2792838.2800193) ACM Conference on Recommender Systems (RecSys) · no summary yet**Allison J. B. Chaney, David M. Blei, Tina Eliassi‐Rad*2015 · 162 citations*
47. **[Content-based recommendations with Poisson factorization ↗](https://openalex.org/W2125261539) neural information processing systems · no summary yet**Prem Gopalan, Laurent Charlin, David M. Blei*2014 · 157 citations*
48. **[Topic Models ↗](https://doi.org/10.1201/9781420059458.ch4) Chapman & Hall/CRC data mining and knowledge discovery series · no summary yet**John Lafferty, David M. Blei*2009 · 152 citations*
49. **[Dirichlet Process Mixtures of Generalized Linear Models ↗](https://doi.org/10.5555/1953048.2021061) Journal of Machine Learning Research · no summary yet**Lauren A. Hannah, David M. Blei, Warren B. Powell*2011 · 147 citations*
50. **[Causal Inference for Recommender Systems ↗](https://doi.org/10.1145/3383313.3412225) no summary yet**Zhaoran Wang et al.*2020 · 141 citations*
51. **[The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling ↗](https://openalex.org/W2167810193) no summary yet**Sinead A. Williamson et al.*2010 · 141 citations*
52. **[A Language-based Approach to Measuring Scholarly Impact ↗](https://openalex.org/W75368837) no summary yet**Sean Gerrish, David M. Blei*2010 · 133 citations*
53. **[Bayesian Nonparametric Matrix Factorization for Recorded Music ↗](https://openalex.org/W2113526703) International Conference on Machine Learning · no summary yet**David M. Blei, Perry R. Cook, Matthew D. Hoffman*2010 · 131 citations*
54. **[Evaluating the Moral Beliefs Encoded in LLMs](https://md.research.elamur.ai/free/en/papers/scherrer-2023-evaluating-moral-beliefs-encoded-llms/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Nino Scherrer, Claudia Shi, Amir Feder, et al.*2023 · 129 citations*
55. **[Nonparametric empirical Bayes for the Dirichlet process mixture model ↗](https://doi.org/10.1007/s11222-006-5196-2) Statistics and Computing · no summary yet**Jon McAuliffe, David M. Blei, Michael I. Jordan*2006 · 126 citations*
56. **[Connections between the lines ↗](https://doi.org/10.1145/1557019.1557044) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Jonathan Chang, Jordan Lee Boyd-Graber, David M. Blei*2009 · 121 citations*
57. **[Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process ↗](https://openalex.org/W2098047130) no summary yet**Chong Wang, David M. Blei*2009 · 120 citations*
58. **[Readmission prediction via deep contextual embedding of clinical concepts ↗](https://doi.org/10.1371/journal.pone.0195024) PLoS ONE · no summary yet**Cao Xiao et al.*2018 · 118 citations*
59. **[Deep Probabilistic Programming ↗](https://arxiv.org/abs/1701.03757) arXiv (Cornell University) · no summary yet**Dustin Tran et al.*2017 · 114 citations*
60. **[Building and using a semantivisual image hierarchy ↗](https://doi.org/10.1109/cvpr.2010.5540027) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Li-Jia Li et al.*2010 · 114 citations*
61. **[SHOPPER: A probabilistic model of consumer choice with substitutes and complements ↗](https://doi.org/10.1214/19-aoas1265) The Annals of Applied Statistics · no summary yet**Francisco J. R. Ruiz, Susan Carleton Athey, David M. Blei*2017 · 113 citations*
62. **[Scalable Recommendation with Poisson Factorization ↗](https://arxiv.org/abs/1311.1704) arXiv (Cornell University) · no summary yet**Prem Gopalan, Jake M. Hofman, David M. Blei*2013 · 111 citations*
63. **[Black Box Variational Inference ↗](https://arxiv.org/abs/1401.0118) arXiv (Cornell University) · no summary yet**Rajesh Ranganath, Sean Gerrish, David M. Blei*2013 · 111 citations*
64. **[Sparse Stochastic Inference for Latent Dirichlet allocation ↗](https://arxiv.org/abs/1206.6425) arXiv (Cornell University) · no summary yet**David Mimno, Matt Hoffman, David M. Blei*2012 · 111 citations*
65. **[Deep Survival Analysis ↗](https://arxiv.org/abs/1608.02158) arXiv (Cornell University) · no summary yet**Rajesh Ranganath et al.*2016 · 110 citations*
66. **[Mixed Membership Stochastic Block Models for Relational Data with Application to Protein-Protein Interactions ↗](https://openalex.org/W327576307) no summary yet**Edoardo M. Airoldi et al.*2006 · 107 citations*
67. **[Visualizing Topics with Multi-Word Expressions ↗](https://arxiv.org/abs/0907.1013) arXiv (Cornell University) · no summary yet**David M. Blei, John Lafferty*2009 · 104 citations*
68. **[How They Vote: Issue-Adjusted Models of Legislative Behavior ↗](https://openalex.org/W2103841034) no summary yet**Sean Gerrish, David M. Blei*2012 · 102 citations*
69. **[Adapting Text Embeddings for Causal Inference ↗](https://arxiv.org/abs/1905.12741) arXiv (Cornell University) · no summary yet**Victor Veitch, Dhanya Sridhar, David M. Blei*2019 · 100 citations*
70. **[Hierarchical Implicit Models and Likelihood-Free Variational Inference ↗](https://arxiv.org/abs/1702.08896) arXiv (Cornell University) · no summary yet**Dustin Tran, Rajesh Ranganath, David M. Blei*2017 · 99 citations*
71. **[Deep Exponential Families ↗](https://arxiv.org/abs/1411.2581) arXiv (Cornell University) · no summary yet**Rajesh Ranganath et al.*2014 · 99 citations*
72. **[Deep Learning with Hierarchical Convolutional Factor Analysis ↗](https://doi.org/10.1109/tpami.2013.19) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Bo Chen et al.*2013 · 98 citations*
73. **[Dynamic Poisson Factorization ↗](https://doi.org/10.1145/2792838.2800174) ACM Conference on Recommender Systems (RecSys) · no summary yet**Laurent Charlin et al.*2015 · 95 citations*
74. **[Exponential Family Embeddings ↗](https://arxiv.org/abs/1608.00778) arXiv (Cornell University) · no summary yet**Maja Rudolph et al.*2016 · 82 citations*
75. **[Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts ↗](https://doi.org/10.1145/2783258.2783414) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Aaron Schein et al.*2015 · 82 citations*
76. **[Easy As Cba: A Simple Probabilistic Model For Tagging Music. ↗](https://doi.org/10.5281/zenodo.1417346) no summary yet**Matthew D. Hoffman, David M. Blei, Perry R. Cook*2009 · 82 citations*
77. **[Scalable Inference of Overlapping Communities ↗](https://openalex.org/W2102111939) no summary yet**Prem Gopalan et al.*2012 · 81 citations*
78. **[A Bayesian Nonparametric Approach to Image Super-Resolution ↗](https://doi.org/10.1109/tpami.2014.2321404) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Gungor Polatkan et al.*2014 · 79 citations*
79. **[Topic Models ↗](https://doi.org/10.1201/9781420059458-12) Chapman & Hall/CRC eBooks · no summary yet**David M. Blei, John Lafferty*2009 · 79 citations*
80. **[Automatic Variational Inference in Stan ↗](https://arxiv.org/abs/1506.03431) arXiv (Cornell University) · no summary yet**Alp Kucukelbir et al.*2015 · 77 citations*
81. **[Bayesian Nonparametric Poisson Factorization for Recommendation Systems ↗](https://openalex.org/W143080133) no summary yet**Prem Gopalan et al.*2014 · 75 citations*
82. **[An Adaptive Learning Rate for Stochastic Variational Inference ↗](https://doi.org/10.1184/r1/6475463) no summary yet**Rajesh Ranganath et al.*2018 · 73 citations*
83. **[Nonparametric Bayes Pachinko Allocation ↗](https://arxiv.org/abs/1206.5270) arXiv (Cornell University) · no summary yet**Wei Li, David M. Blei, Andrew McCallum*2012 · 72 citations*
84. **[Bayesian Checking for Topic Models ↗](https://aclanthology.org/D11-1021/) Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing · no summary yet**David Mimno, David Blei*2011 · 72 citations*
85. **[Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data ↗](https://doi.org/10.1257/pandp.20181031) AEA Papers and Proceedings · no summary yet**Susan Carleton Athey et al.*2018 · 71 citations*
86. **[Hierarchical recurrent state space models reveal discrete and continuous dynamics of neural activity in C. elegans ↗](https://doi.org/10.1101/621540) bioRxiv (Cold Spring Harbor Laboratory) · no summary yet**Scott W. Linderman et al.*2019 · 69 citations*
87. **[Content-Based Musical Similarity Computation Using The Hierarchical Dirichlet Process. ↗](https://doi.org/10.5281/zenodo.1417222) no summary yet**Matthew D. Hoffman, David M. Blei, Perry R. Cook*2008 · 68 citations*
88. **[Starfysh integrates spatial transcriptomic and histologic data to reveal heterogeneous tumor–immune hubs ↗](https://doi.org/10.1038/s41587-024-02173-8) Nature Biotechnology · no summary yet**Siyu He et al.*2024 · 67 citations*
89. **[Spatial distance dependent Chinese restaurant processes for image segmentation ↗](https://openalex.org/W2122740842) no summary yet**Soumya Ghosh et al.*2011 · 67 citations*
90. **[Distance Dependent Chinese Restaurant Processes ↗](https://arxiv.org/abs/0910.1022) arXiv (Cornell University) · no summary yet**David M. Blei, Peter I. Frazier*2009 · 66 citations*
91. **[Probabilistic models of text and images ↗](https://openalex.org/W2417825098) no summary yet**David M. Blei, Michael I. Jordan*2004 · 66 citations*
92. **[Adapting Neural Networks for the Estimation of Treatment Effects ↗](https://arxiv.org/abs/1906.02120) arXiv (Cornell University) · no summary yet**Claudia Shi, David M. Blei, Victor Veitch*2019 · 62 citations*
93. **[A Computational Approach to Style in American Poetry ↗](https://doi.org/10.1109/icdm.2007.76) Proceedings · no summary yet**David M. Kaplan, David M. Blei*2007 · 62 citations*
94. **[Avoiding Latent Variable Collapse With Generative Skip Models ↗](https://arxiv.org/abs/1807.04863) arXiv (Cornell University) · no summary yet**Adji Bousso Dieng et al.*2018 · 61 citations*
95. **[Operator Variational Inference ↗](https://arxiv.org/abs/1610.09033) arXiv (Cornell University) · no summary yet**Rajesh Ranganath et al.*2016 · 61 citations*
96. **[A latent mixed membership model for relational data ↗](https://doi.org/10.1145/1134271.1134283) no summary yet**Edoardo M. Airoldi et al.*2005 · 60 citations*
97. **[Text-Based Ideal Points ↗](https://aclanthology.org/2020.acl-main.475/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Keyon Vafa, Suresh Naidu, David Blei*2020 · 56 citations*
98. **[Scaling probabilistic models of genetic variation to millions of humans ↗](https://doi.org/10.1038/ng.3710) Nature Genetics · no summary yet**Prem Gopalan et al.*2016 · 55 citations*
99. **[A General Method for Robust Bayesian Modeling ↗](https://doi.org/10.1214/17-ba1090) Bayesian Analysis · no summary yet**Chong Wang, David M. Blei*2015 · 55 citations*
100. **[Variational Inference for the Nested Chinese Restaurant Process ↗](https://openalex.org/W2144148101) no summary yet**Chong Wang, David M. Blei*2009 · 54 citations*

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