Elamur Research⌕
☰
home / authors / David M. Blei / all works

David M. Blei — all works

377 works · page 1 of 4 · 1–100 · ← David M. Blei

1 2 3 4

  1. Latent Dirichlet AllocationJMLR 3David M. Blei, Andrew Y. Ng, Michael I. Jordan2003 · 28,408 citations
  2. Probabilistic topic models ↗Communications of the ACM · no summary yetDavid M. Blei2012 · 5,505 citations
  3. Variational Inference: A Review for Statisticians ↗Journal of the American Statistical Association · no summary yetDavid M. Blei, Alp Kucukelbir, Jon D. McAuliffe2017 · 3,935 citations
  4. Hierarchical Dirichlet Processes ↗Journal of the American Statistical Association 101 · no summary yetYee Whye Teh et al.2006 · 3,627 citations
  5. Dynamic Topic ModelsInternational Conference on Machine Learning (ICML)David M. Blei, John D. Lafferty2006 · 2,520 citations
  6. Reading Tea Leaves: How Humans Interpret Topic ModelsConference on Neural Information Processing Systems (NeurIPS)Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, et al.2009 · 2,053 citations
  7. Collaborative topic modeling for recommending scientific articles ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetChong Wang, David M. Blei2011 · 1,556 citations
  8. Stochastic variational inference ↗Journal of Machine Learning Research · no summary yetMatthew D. Hoffman et al.2013 · 1,456 citations
  9. Online Learning for Latent Dirichlet Allocation ↗no summary yetMatthew D. Hoffman, David M. Blei, Francis Bach2010 · 1,333 citations
  10. Supervised Topic Models ↗arXiv (Cornell University) · no summary yetDavid M. Blei, Jon McAuliffe2010 · 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 ↗Poetics · no summary yetPaul DiMaggio, Manish Nag, David M. Blei2013 · 1,157 citations
  12. A correlated topic model of Science ↗no summary yetDavid M. Blei, John Lafferty2018 · 1,088 citations
  13. Modeling annotated data ↗no summary yetDavid M. Blei, Michael I. Jordan2003 · 1,084 citations
  14. A correlated topic model of Science ↗The Annals of Applied Statistics · no summary yetDavid M. Blei, John D. Lafferty2007 · 992 citations
  15. Hierarchical Topic Models and the Nested Chinese Restaurant Process ↗no summary yetThomas L. Griffiths et al.2003 · 986 citations
  16. Topic Modeling in Embedding SpacesTransactions of the Association for Computational Linguistics (TACL)Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei2020 · 918 citations
  17. Correlated Topic Models ↗neural information processing systems · no summary yetJohn Lafferty, David M. Blei2005 · 886 citations
  18. Mixed Membership Stochastic Blockmodels. ↗PubMed · no summary yetEdoardo M. Airoldi et al.2008 · 810 citations
  19. The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies ↗Journal of the ACM · no summary yetDavid M. Blei, Thomas L. Griffiths, Michael I. Jordan2007 · 675 citations
  20. A tutorial on Bayesian nonparametric models ↗Journal of Mathematical Psychology · no summary yetSamuel J. Gershman, David M. Blei2011 · 611 citations
  21. Integrating Topics and Syntax ↗no summary yetThomas L. Griffiths et al.2004 · 546 citations
  22. Simultaneous image classification and annotation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChong Wang, David M. Blei, Li Fei-Fei2009 · 527 citations
  23. Matching Words and Pictures ↗no summary yetKobus Barnard et al.2003 · 511 citations
  24. Relational Topic Models for Document Networks ↗no summary yetJonathan Chang, David M. Blei2009 · 481 citations
  25. Probabilistic Topic Models ↗IEEE Signal Processing Magazine · no summary yetDavid M. Blei, Lawrence Carin, David B. Dunson2010 · 443 citations
  26. Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes ↗no summary yetYee Whye Teh et al.2004 · 440 citations
  27. Stochastic Gradient Descent as Approximate Bayesian Inference ↗arXiv (Cornell University) · no summary yetStephan Mandt, Matthew D. Hoffman, David M. Blei2017 · 390 citations
  28. Context, learning, and extinction. ↗Psychological Review · no summary yetSamuel J. Gershman, David M. Blei, Yael Niv2010 · 375 citations
  29. Modeling User Exposure in Recommendation ↗International World Wide Web Conference (WWW) · no summary yetDawen Liang et al.2016 · 369 citations
  30. Online Variational Inference for the Hierarchical Dirichlet Process ↗no summary yetChong Wang, John William Paisley, David M. Blei2011 · 330 citations
  31. Continuous Time Dynamic Topic Models ↗arXiv (Cornell University) · no summary yetChong Wang, David M. Blei, David E. Heckerman2012 · 319 citations
  32. Variational Bayesian Inference with Stochastic Search ↗arXiv (Cornell University) · no summary yetJohn William Paisley, David M. Blei, Michael I. Jordan2012 · 300 citations
  33. Hierarchical relational models for document networks ↗The Annals of Applied Statistics · no summary yetJonathan Chang, David M. Blei2010 · 264 citations
  34. Factorization Meets the Item Embedding ↗ACM Conference on Recommender Systems (RecSys) · no summary yetDawen Liang et al.2016 · 244 citations
  35. Nested Hierarchical Dirichlet Processes ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetJohn William Paisley et al.2012 · 234 citations
  36. Edward: A library for probabilistic modeling, inference, and criticism ↗arXiv:1610.09787 · no summary yetDustin Tran et al.2016 · 217 citations
  37. The Blessings of Multiple Causes ↗Journal of the American Statistical Association · no summary yetZhaoran Wang, David M. Blei2019 · 215 citations
  38. Automatic Differentiation Variational Inference ↗arXiv (Cornell University) · no summary yetAlp Kucukelbir et al.2016 · 213 citations
  39. Scalable recommendation with hierarchical Poisson factorization ↗no summary yetPrem Gopalan, Jake M. Hofman, David M. Blei2015 · 199 citations
  40. Topic segmentation with an aspect hidden Markov model ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetDavid M. Blei, Pedro J. Moreno2001 · 185 citations
  41. Syntactic Topic Models ↗arXiv (Cornell University) · no summary yetJordan Lee Boyd-Graber, David M. Blei2010 · 183 citations
  42. Frequentist Consistency of Variational Bayes ↗Journal of the American Statistical Association · no summary yetZhaoran Wang, David M. Blei2018 · 179 citations
  43. Dynamic Embeddings for Language Evolution ↗no summary yetMaja Rudolph, David M. Blei2018 · 178 citations
  44. Predicting Legislative Roll Calls from Text ↗no summary yetSean Gerrish, David M. Blei2011 · 175 citations
  45. Variational Inference in Nonconjugate Models ↗arXiv (Cornell University) · no summary yetChong Wang, David M. Blei2012 · 174 citations
  46. A Probabilistic Model for Using Social Networks in Personalized Item Recommendation ↗ACM Conference on Recommender Systems (RecSys) · no summary yetAllison J. B. Chaney, David M. Blei, Tina Eliassi‐Rad2015 · 162 citations
  47. Content-based recommendations with Poisson factorization ↗neural information processing systems · no summary yetPrem Gopalan, Laurent Charlin, David M. Blei2014 · 157 citations
  48. Topic Models ↗Chapman & Hall/CRC data mining and knowledge discovery series · no summary yetJohn Lafferty, David M. Blei2009 · 152 citations
  49. Dirichlet Process Mixtures of Generalized Linear Models ↗Journal of Machine Learning Research · no summary yetLauren A. Hannah, David M. Blei, Warren B. Powell2011 · 147 citations
  50. Causal Inference for Recommender Systems ↗no summary yetZhaoran Wang et al.2020 · 141 citations
  51. The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling ↗no summary yetSinead A. Williamson et al.2010 · 141 citations
  52. A Language-based Approach to Measuring Scholarly Impact ↗no summary yetSean Gerrish, David M. Blei2010 · 133 citations
  53. Bayesian Nonparametric Matrix Factorization for Recorded Music ↗International Conference on Machine Learning · no summary yetDavid M. Blei, Perry R. Cook, Matthew D. Hoffman2010 · 131 citations
  54. Evaluating the Moral Beliefs Encoded in LLMs ↗arXiv:2307.14324 · no summary yetNino Scherrer et al.2023 · 129 citations
  55. Nonparametric empirical Bayes for the Dirichlet process mixture model ↗Statistics and Computing · no summary yetJon McAuliffe, David M. Blei, Michael I. Jordan2006 · 126 citations
  56. Connections between the lines ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetJonathan Chang, Jordan Lee Boyd-Graber, David M. Blei2009 · 121 citations
  57. Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process ↗no summary yetChong Wang, David M. Blei2009 · 120 citations
  58. Readmission prediction via deep contextual embedding of clinical concepts ↗PLoS ONE · no summary yetCao Xiao et al.2018 · 118 citations
  59. Deep Probabilistic Programming ↗arXiv (Cornell University) · no summary yetDustin Tran et al.2017 · 114 citations
  60. Building and using a semantivisual image hierarchy ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLi-Jia Li et al.2010 · 114 citations
  61. SHOPPER: A probabilistic model of consumer choice with substitutes and complements ↗The Annals of Applied Statistics · no summary yetFrancisco J. R. Ruiz, Susan Carleton Athey, David M. Blei2017 · 113 citations
  62. Scalable Recommendation with Poisson Factorization ↗arXiv (Cornell University) · no summary yetPrem Gopalan, Jake M. Hofman, David M. Blei2013 · 111 citations
  63. Black Box Variational Inference ↗arXiv (Cornell University) · no summary yetRajesh Ranganath, Sean Gerrish, David M. Blei2013 · 111 citations
  64. Sparse Stochastic Inference for Latent Dirichlet allocation ↗arXiv (Cornell University) · no summary yetDavid Mimno, Matt Hoffman, David M. Blei2012 · 111 citations
  65. Deep Survival Analysis ↗arXiv (Cornell University) · no summary yetRajesh Ranganath et al.2016 · 110 citations
  66. Mixed Membership Stochastic Block Models for Relational Data with Application to Protein-Protein Interactions ↗no summary yetEdoardo M. Airoldi et al.2006 · 107 citations
  67. Visualizing Topics with Multi-Word Expressions ↗arXiv (Cornell University) · no summary yetDavid M. Blei, John Lafferty2009 · 104 citations
  68. How They Vote: Issue-Adjusted Models of Legislative Behavior ↗no summary yetSean Gerrish, David M. Blei2012 · 102 citations
  69. Adapting Text Embeddings for Causal Inference ↗arXiv (Cornell University) · no summary yetVictor Veitch, Dhanya Sridhar, David M. Blei2019 · 100 citations
  70. Hierarchical Implicit Models and Likelihood-Free Variational Inference ↗arXiv (Cornell University) · no summary yetDustin Tran, Rajesh Ranganath, David M. Blei2017 · 99 citations
  71. Deep Exponential Families ↗arXiv (Cornell University) · no summary yetRajesh Ranganath et al.2014 · 99 citations
  72. Deep Learning with Hierarchical Convolutional Factor Analysis ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetBo Chen et al.2013 · 98 citations
  73. Dynamic Poisson Factorization ↗ACM Conference on Recommender Systems (RecSys) · no summary yetLaurent Charlin et al.2015 · 95 citations
  74. Exponential Family Embeddings ↗arXiv (Cornell University) · no summary yetMaja Rudolph et al.2016 · 82 citations
  75. Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetAaron Schein et al.2015 · 82 citations
  76. Easy As Cba: A Simple Probabilistic Model For Tagging Music. ↗no summary yetMatthew D. Hoffman, David M. Blei, Perry R. Cook2009 · 82 citations
  77. Scalable Inference of Overlapping Communities ↗no summary yetPrem Gopalan et al.2012 · 81 citations
  78. A Bayesian Nonparametric Approach to Image Super-Resolution ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetGungor Polatkan et al.2014 · 79 citations
  79. Topic Models ↗Chapman & Hall/CRC eBooks · no summary yetDavid M. Blei, John Lafferty2009 · 79 citations
  80. Automatic Variational Inference in Stan ↗arXiv (Cornell University) · no summary yetAlp Kucukelbir et al.2015 · 77 citations
  81. Bayesian Nonparametric Poisson Factorization for Recommendation Systems ↗no summary yetPrem Gopalan et al.2014 · 75 citations
  82. An Adaptive Learning Rate for Stochastic Variational Inference ↗no summary yetRajesh Ranganath et al.2018 · 73 citations
  83. Nonparametric Bayes Pachinko Allocation ↗arXiv (Cornell University) · no summary yetWei Li, David M. Blei, Andrew McCallum2012 · 72 citations
  84. Bayesian Checking for Topic Models ↗Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing · no summary yetDavid Mimno, David Blei2011 · 72 citations
  85. Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data ↗AEA Papers and Proceedings · no summary yetSusan Carleton Athey et al.2018 · 71 citations
  86. Hierarchical recurrent state space models reveal discrete and continuous dynamics of neural activity in C. elegans ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetScott W. Linderman et al.2019 · 69 citations
  87. Content-Based Musical Similarity Computation Using The Hierarchical Dirichlet Process. ↗no summary yetMatthew D. Hoffman, David M. Blei, Perry R. Cook2008 · 68 citations
  88. Starfysh integrates spatial transcriptomic and histologic data to reveal heterogeneous tumor–immune hubs ↗Nature Biotechnology · no summary yetSiyu He et al.2024 · 67 citations
  89. Spatial distance dependent Chinese restaurant processes for image segmentation ↗no summary yetSoumya Ghosh et al.2011 · 67 citations
  90. Distance Dependent Chinese Restaurant Processes ↗arXiv (Cornell University) · no summary yetDavid M. Blei, Peter I. Frazier2009 · 66 citations
  91. Probabilistic models of text and images ↗no summary yetDavid M. Blei, Michael I. Jordan2004 · 66 citations
  92. Adapting Neural Networks for the Estimation of Treatment Effects ↗arXiv (Cornell University) · no summary yetClaudia Shi, David M. Blei, Victor Veitch2019 · 62 citations
  93. A Computational Approach to Style in American Poetry ↗Proceedings · no summary yetDavid M. Kaplan, David M. Blei2007 · 62 citations
  94. Avoiding Latent Variable Collapse With Generative Skip Models ↗arXiv (Cornell University) · no summary yetAdji Bousso Dieng et al.2018 · 61 citations
  95. Operator Variational Inference ↗arXiv (Cornell University) · no summary yetRajesh Ranganath et al.2016 · 61 citations
  96. A latent mixed membership model for relational data ↗no summary yetEdoardo M. Airoldi et al.2005 · 60 citations
  97. Text-Based Ideal Points ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetKeyon Vafa, Suresh Naidu, David Blei2020 · 56 citations
  98. Scaling probabilistic models of genetic variation to millions of humans ↗Nature Genetics · no summary yetPrem Gopalan et al.2016 · 55 citations
  99. A General Method for Robust Bayesian Modeling ↗Bayesian Analysis · no summary yetChong Wang, David M. Blei2015 · 55 citations
  100. Variational Inference for the Nested Chinese Restaurant Process ↗no summary yetChong Wang, David M. Blei2009 · 54 citations

1 2 3 4

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/david-m-blei/works/