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David M. Blei — all works

377 works · page 2 of 4 · 101–200 · ← David M. Blei

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  1. Variational Sequential Monte Carlo ↗International Conference on Artificial Intelligence and Statistics · no summary yetChristian A. Naesseth et al.2018 · 53 citations
  2. A Variational Analysis of Stochastic Gradient Algorithms ↗arXiv (Cornell University) · no summary yetStephan Mandt, Matthew D. Hoffman, David M. Blei2016 · 53 citations
  3. Truncation-free Online Variational Inference for Bayesian Nonparametric Models ↗neural information processing systems · no summary yetChong Wang, David M. Blei2012 · 48 citations
  4. The Dynamic Embedded Topic Model ↗arXiv (Cornell University) · no summary yetAdji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei2019 · 47 citations
  5. Structured Stochastic Variational Inference ↗arXiv (Cornell University) · no summary yetMatthew D. Hoffman, David M. Blei2014 · 47 citations
  6. Adjusting for indirectly measured confounding using large-scale propensity score ↗Journal of Biomedical Informatics · no summary yetLinying Zhang et al.2022 · 46 citations
  7. Recurrent switching linear dynamical systems ↗arXiv (Cornell University) · no summary yetScott W. Linderman et al.2016 · 46 citations
  8. Nonparametric variational inference ↗arXiv (Cornell University) · no summary yetSamuel J. Gershman, Matt Hoffman, David M. Blei2012 · 46 citations
  9. Multilingual Topic Models for Unaligned Text ↗arXiv (Cornell University) · no summary yetJordan Lee Boyd-Graber, David M. Blei2012 · 46 citations
  10. Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ↗arXiv (Cornell University) · no summary yetAaron Schein et al.2016 · 45 citations
  11. Markov Topic Models ↗no summary yetChong Wang et al.2009 · 44 citations
  12. Prescribed Generative Adversarial Networks ↗arXiv (Cornell University) · no summary yetAdji Bousso Dieng et al.2019 · 40 citations
  13. Hierarchical Variational Models ↗arXiv (Cornell University) · no summary yetRajesh Ranganath, Dustin Tran, David M. Blei2015 · 40 citations
  14. A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process ↗arXiv (Cornell University) · no summary yetWang, Chong, David M. Blei2012 · 40 citations
  15. The Deconfounded Recommender: A Causal Inference Approach to Recommendation ↗arXiv (Cornell University) · no summary yetZhaoran Wang et al.2018 · 39 citations
  16. Copula variational inference ↗arXiv (Cornell University) · no summary yetDustin Tran, David M. Blei, Edoardo M. Airoldi2015 · 38 citations
  17. Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span ↗BMC Bioinformatics · no summary yetDavid M. Blei et al.2006 · 37 citations
  18. Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data ↗PLoS ONE · no summary yetJeremy R. Manning et al.2014 · 36 citations
  19. Learning with Scope, with Application to Information Extraction and Classification ↗arXiv (Cornell University) · no summary yetDavid M. Blei, James Andrew Bagnell, Andrew Kachites McCallum2012 · 36 citations
  20. The Inverse Regression Topic Model ↗no summary yetMaxim Rabinovich, David M. Blei2014 · 35 citations
  21. Truncation-free stochastic variational inference for Bayesian nonparametric models ↗no summary yetChong Wang, David M. Blei2012 · 34 citations
  22. A topographic latent source model for fMRI data ↗NeuroImage · no summary yetSamuel J. Gershman et al.2011 · 34 citations
  23. Multilingual topic models for unaligned text ↗no summary yetOlden Street, David M. Blei2009 · 34 citations
  24. The Generalized Reparameterization Gradient ↗arXiv (Cornell University) · no summary yetFrancisco J. R. Ruiz, Michalis K. Titsias, David M. Blei2016 · 33 citations
  25. Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable ↗no summary yetLauren A. Hannah, Warren B. Powell, David M. Blei2010 · 33 citations
  26. Hierarchical maximum entropy density estimation ↗International Conference on Machine Learning · no summary yetMiroslav Dudı́k, David M. Blei, Robert E. Schapire2007 · 32 citations
  27. Stick-Breaking Beta Processes and the Poisson Process ↗no summary yetJohn William Paisley, David M. Blei, Michael I. Jordan2012 · 30 citations
  28. A probabilistic approach to discovering dynamic full-brain functional connectivity patterns ↗NeuroImage · no summary yetJeremy R. Manning et al.2017 · 29 citations
  29. Rationales for Sequential Predictions ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetKeyon Vafa et al.2021 · 28 citations
  30. Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net ↗International Conference on Artificial Intelligence and Statistics · no summary yetAlexander Lorbert et al.2010 · 28 citations
  31. Posterior Collapse and Latent Variable Non-identifiability ↗arXiv (Cornell University) · no summary yetZhaoran Wang, David M. Blei, John P. Cunningham2023 · 27 citations
  32. The Variational Gaussian Process ↗arXiv (Cornell University) · no summary yetDustin Tran, Rajesh Ranganath, David M. Blei2015 · 27 citations
  33. Variational Inference for Stick-Breaking Beta Process Priors ↗International Conference on Machine Learning · no summary yetLawrence Carin, David M. Blei, John William Paisley2011 · 27 citations
  34. Introduction to Mixed Membership Models and Methods ↗Chapman & Hall/CRC eBooks · no summary yetEdoardo M. Airoldi et al.2014 · 26 citations
  35. Practical and Asymptotically Exact Conditional Sampling in Diffusion Models ↗neural information processing systems · no summary yetLuhuan Wu et al.2023 · 25 citations
  36. The population posterior and Bayesian modeling on streams ↗neural information processing systems · no summary yetJames O. McInerney, Rajesh Ranganath, David M. Blei2015 · 25 citations
  37. Combining Stochastic Block Models and Mixed Membership for Statistical Network Analysis ↗Springer eBooks · no summary yetEdoardo M. Airoldi et al.2008 · 25 citations
  38. Using Embeddings to Correct for Unobserved Confounding in Networks ↗arXiv (Cornell University) · no summary yetVictor Veitch, Zhaoran Wang, David M. Blei2019 · 24 citations
  39. Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms ↗arXiv (Cornell University) · no summary yetChristian A. Naesseth et al.2016 · 24 citations
  40. Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure ↗Proceedings of the National Academy of Sciences · no summary yetDavid Mimno, David M. Blei, Barbara E. Engelhardt2015 · 23 citations
  41. Distance Dependent Infinite Latent Feature Models ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetSamuel J. Gershman, Peter I. Frazier, David M. Blei2014 · 23 citations
  42. Bayesian Nonnegative Matrix Factorization with Stochastic Variational Inference ↗Chapman & Hall/CRC eBooks · no summary yetJohn William Paisley, David M. Blei, Michael I. Jordan2014 · 23 citations
  43. The Holdout Randomization Test for Feature Selection in Black Box Models ↗Journal of Computational and Graphical Statistics · no summary yetWesley Tansey et al.2021 · 22 citations
  44. Counterfactual inference for consumer choice across many product categories ↗Quantitative Marketing and Economics · no summary yetRobert Donnelly et al.2019 · 22 citations
  45. The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling ↗no summary yetJohn William Paisley, Chong Wang, David M. Blei2011 · 22 citations
  46. Dose–response modeling in high-throughput cancer drug screenings: an end-to-end approach ↗Biostatistics · no summary yetWesley Tansey et al.2018 · 21 citations
  47. Dynamic Bernoulli Embeddings for Language Evolution ↗arXiv (Cornell University) · no summary yetMaja Rudolph, David M. Blei2017 · 21 citations
  48. Variational Tempering ↗arXiv (Cornell University) · no summary yetStephan Mandt et al.2014 · 21 citations
  49. A Bayesian Analysis of Dynamics in Free Recall ↗no summary yetRichard Socher et al.2009 · 21 citations
  50. Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation ↗no summary yetIndraneel Mukherjee, David M. Blei2008 · 20 citations
  51. Implicit Causal Models for Genome-wide Association Studies ↗arXiv (Cornell University) · no summary yetDustin Tran, David M. Blei2017 · 19 citations
  52. The survival filter: joint survival analysis with a latent time series ↗no summary yetRajesh Ranganath et al.2015 · 19 citations
  53. Joint representation and visualization of derailed cell states with Decipher ↗Genome biology · no summary yetAchille Nazaret et al.2025 · 18 citations
  54. Markovian Score Climbing: Variational Inference with KL(p||q) ↗arXiv (Cornell University) · no summary yetChristian A. Naesseth, Fredrik Lindsten, David M. Blei2020 · 18 citations
  55. Holdout predictive checks for Bayesian model criticism ↗Journal of the Royal Statistical Society Series B (Statistical Methodology) · no summary yetGemma E. Moran, David M. Blei, Rajesh Ranganath2019 · 18 citations
  56. Noisin: Unbiased Regularization for Recurrent Neural Networks ↗arXiv (Cornell University) · no summary yetAdji Bousso Dieng et al.2018 · 18 citations
  57. Estimating the Hallucination Rate of Generative AI ↗neural information processing systems · no summary yetAndrew Jesson et al.2024 · 17 citations
  58. Conformal Sensitivity Analysis for Individual Treatment Effects ↗Journal of the American Statistical Association · no summary yetMingzhang Yin et al.2022 · 17 citations
  59. Decomposing spatiotemporal brain patterns into topographic latent sources ↗NeuroImage · no summary yetSamuel J. Gershman et al.2014 · 17 citations
  60. Efficient Online Inference for Bayesian Nonparametric Relational Models ↗no summary yetDae Il Kim et al.2013 · 17 citations
  61. Reconstructing the universe with variational self-boosted sampling ↗Journal of Cosmology and Astroparticle Physics · no summary yetChirag Modi, Yin Li, David M. Blei2023 · 16 citations
  62. Invariant Representation Learning for Treatment Effect Estimation ↗arXiv (Cornell University) · no summary yetClaudia Shi, Victor Veitch, David M. Blei2020 · 16 citations
  63. Objective Variables for Probabilistic Revenue Maximization in Second-Price Auctions with Reserve ↗International World Wide Web Conference (WWW) · no summary yetMaja Rudolph, Joseph G. Ellis, David M. Blei2016 · 15 citations
  64. Overdispersed Black-Box Variational Inference ↗arXiv (Cornell University) · no summary yetFrancisco J. R. Ruiz, Michalis K. Titsias, David M. Blei2016 · 15 citations
  65. MedLDA: Maximum Margin Supervised Topic Models for Regression and Classification ↗no summary yetJun Zhu et al.2009 · 15 citations
  66. Hierarchical Mixed Membership Stochastic Blockmodels for Multiple Networks and Experimental Interventions ↗no summary yetEdoardo M. Airoldi et al.2014 · 14 citations
  67. Modeling Overlapping Communities with Node Popularities ↗no summary yetPrem Gopalan, Chong Wang, David M. Blei2013 · 14 citations
  68. Nonparametric Identifiability of Causal Representations from Unknown Interventions ↗neural information processing systems · no summary yetJulius von Kügelgen et al.2023 · 13 citations
  69. Heterogeneous Supervised Topic Models ↗Transactions of the Association for Computational Linguistics · no summary yetDhanya Sridhar, Hal Daumé III, David Blei2022 · 13 citations
  70. Towards Clarifying the Theory of the Deconfounder ↗arXiv (Cornell University) · no summary yetZhaoran Wang, David M. Blei2020 · 13 citations
  71. Detecting and Characterizing Events ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetAllison Chaney et al.2016 · 13 citations
  72. Real-time Topic Models for Crisis Counseling ↗no summary yetKarthik Dinakar et al.2014 · 13 citations
  73. Context Selection for Embedding Models ↗Cambridge University Engineering Department Publications Database · no summary yetLiping Liu et al.2017 · 12 citations
  74. Variational Inference via χ Upper Bound Minimization ↗arXiv (Cornell University) · no summary yetAdji Bousso Dieng et al.2016 · 12 citations
  75. Poisson-Randomized Gamma Dynamical Systems ↗arXiv (Cornell University) · no summary yetAaron Schein et al.2019 · 11 citations
  76. Equation Embeddings ↗arXiv (Cornell University) · no summary yetKriste Krstovski, David M. Blei2018 · 11 citations
  77. Correlated Random Measures ↗Journal of the American Statistical Association · no summary yetRajesh Ranganath, David M. Blei2016 · 11 citations
  78. TagLDA: Bringing a document structure knowledge into topic models ↗no summary yetXiaojin Zhu, David M. Blei, John Lafferty2006 · 11 citations
  79. Hypothesis Testing the Circuit Hypothesis in LLMs ↗neural information processing systems · no summary yetClaudia Shi et al.2024 · 10 citations
  80. The Blessings of Multiple Causes: Rejoinder ↗Journal of the American Statistical Association · no summary yetZhaoran Wang, David M. Blei2019 · 10 citations
  81. Equal Opportunity and Affirmative Action via Counterfactual Predictions ↗arXiv (Cornell University) · no summary yetZhaoran Wang, Dhanya Sridhar, David M. Blei2019 · 10 citations
  82. Hierarchical topographic factor analysis ↗International Workshop on Pattern Recognition in NeuroImaging · no summary yetJeremy R. Manning et al.2014 · 10 citations
  83. Jordan Boyd-Graber, David Mimno, and David Newman. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. Handbook of Mixed Membership Models and Their Applications, 2014. ↗no summary yetBoca Raton et al.2014 · 10 citations
  84. Causal fairness assessment of treatment allocation with electronic health records ↗Journal of Biomedical Informatics · no summary yetLinying Zhang et al.2022 · 9 citations
  85. The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records ↗arXiv (Cornell University) · no summary yetLinying Zhang et al.2019 · 9 citations
  86. Interpreting Mixed Membership Models: Implications of Erosheva’s Representation Theorem ↗no summary yetEdoardo M. Airoldi et al.2014 · 9 citations
  87. Smoothed Gradients for Stochastic Variational Inference ↗arXiv (Cornell University) · no summary yetStephan Mandt, David M. Blei2014 · 9 citations
  88. Mixed membership analysis of high-throughput interaction studies: Relational data ↗arXiv (Cornell University) · no summary yetEdoardo M. Airoldi et al.2007 · 9 citations
  89. Data Augmentations for Improved (Large) Language Model Generalization ↗neural information processing systems · no summary yetAmir Feder et al.2023 · 8 citations
  90. Multiple Causes: A Causal Graphical View ↗arXiv (Cornell University) · no summary yetZhaoran Wang, David M. Blei2019 · 8 citations
  91. Connections between the Lines: Augmenting Social Networks with Text ↗no summary yetJonathan Chang, David M. Blei2009 · 8 citations
  92. Bayesian Spectral Matching: Turning Young MC into MC Hammer via MCMC Sampling ↗no summary yetMatthew D. Hoffman, Perry R. Cook, David M. Blei2009 · 8 citations
  93. An Invariant Learning Characterization of Controlled Text Generation ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetCarolina Zheng et al.2023 · 7 citations
  94. Starfysh reveals heterogeneous spatial dynamics in the breast tumor microenvironment ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetSiyu He et al.2022 · 7 citations
  95. Optimization-based Causal Estimation from Heterogenous Environments ↗arXiv (Cornell University) · no summary yetMingzhang Yin, Zhaoran Wang, David M. Blei2021 · 7 citations
  96. General linear-time inference for Gaussian Processes on one dimension. ↗arXiv (Cornell University) · no summary yetJackson Loper et al.2020 · 7 citations
  97. Structured Embedding Models for Grouped Data ↗arXiv (Cornell University) · no summary yetMaja Rudolph et al.2017 · 7 citations
  98. Uncovering, understanding, and predicting links ↗no summary yetDavid M. Blei, Jonathan Chang2011 · 7 citations
  99. Amortized Variational Inference: When and Why? ↗arXiv (Cornell University) · no summary yetCharles C. Margossian, David M. Blei2023 · 6 citations
  100. The Posterior Predictive Null ↗Bayesian Analysis · no summary yetGemma E. Moran, John P. Cunningham, David M. Blei2022 · 6 citations

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