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David M. Blei — all works

377 works · page 4 of 4 · 301–377 · ← David M. Blei

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  1. Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations. ↗AMIA · no summary yetGeorge M. Hripcsak et al.2020
  2. Linear-time inference for Gaussian Processes on one dimension ↗arXiv (Cornell University) · no summary yetJackson Loper et al.2020
  3. The Effect of Friend-to-Friend Text Messaging on Turnout in the 2020 US Presidential Election ↗Open Science Framework · no summary yetAaron Schein, David M. Blei, Don Green2020
  4. The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures. ↗AMIA · no summary yetLinying Zhang et al.2020
  5. The Effect of Relational Text Messaging on Turnout in the 2018 US Midterm Elections ↗Open Science Framework · no summary yetAaron Schein et al.2019
  6. A Probabilistic Model of Cardiac Physiology and Electrocardiograms ↗arXiv (Cornell University) · no summary yetMiller, Andrew C. et al.2018
  7. Word2net: Deep Representations of Language ↗no summary yetMaja Rudolph, Francisco J. R. Ruiz, David M. Blei2018
  8. The Holdout Randomization Test: Principled and Easy Black Box Feature Selection ↗arXiv:1811.00645 · no summary yetWesley Tansey et al.2018
  9. Comment: A Discussion of “Nonparametric Bayes Modeling of Populations of Networks” ↗Journal of the American Statistical Association · no summary yetScott W. Linderman, David M. Blei2017
  10. 32nd International Conference on Machine Learning : (ICML 2015) : Lile, France, 6-11 July 2015 ↗Medical Entomology and Zoology · no summary yetFrancis Bach, David M. Blei2016
  11. Comment ↗Journal of the American Statistical Association · no summary yetDavid M. Blei2016
  12. Edinburgh Research Explorer Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization ↗no summary yetDavid M. Blei, Noah A. Smith2016
  13. Submitted to the Statistical Science Supervised Topic Models ↗no summary yetDavid M. Blei, Jon McAuliffe2016
  14. The Ideal Point Topic Model: Predicting Legislative Roll Calls from Text ↗no summary yetSean Gerrish, David M. Blei2016
  15. 2. Hierarchy and sparsity ↗no summary yetSamuel J. Gershman et al.2016
  16. Factor Topographic Latent Source Analysis: Factor Analysis for ↗no summary yetBrain Images et al.2016
  17. Posterior Dispersion Indices ↗arXiv (Cornell University) · no summary yetAlp Kucukelbir, David M. Blei2016
  18. A Bayesian Boosting Model ↗no summary yetEr Lorbert et al.2016
  19. Measuring Confidence in Temporal Topic Models with Posterior Predictive Checks ↗no summary yetDavid Mimno, David M. Blei2016
  20. 1A Bayesian Nonparametric Approach to Image Super-resolution ↗no summary yetGungor Polatkan et al.2016
  21. Journal of Machine Learning Research (2013) Submitted 00/00; Published 00/00 Variational Inference in Nonconjugate Models ↗no summary yetChong Wang, David M. Blei2016
  22. HVMs extend the applicability of normalizing flows to discrete variables. We can also place a distribution over transformations to build an HVM without Jacobians (2). ↗no summary yetRajesh Ranganath, Dustin Tran, David M. Blei2015
  23. Generative Models for Decoding Real-Valued Natural Experience in FMRI ↗no summary yetGreg J. Stephens, David M. Blei2015
  24. A Text-based HMM of Foreign Affair Sentiment ↗no summary yetSean Gerrish, David M. Blei2014
  25. N∑ n=1 ↗no summary yetSamuel J. Gershman, Peter I. Frazier, David M. Blei2014
  26. Adaptively Setting the Learning Rate in Stochastic Variational Inference ↗no summary yetRajesh Ranganath et al.2014
  27. Advanced Methods in Probabilistic Modeling ↗no summary yetDavid M. Blei2013
  28. AIR FORCE MATERIEL COMMAND Standard Form 298 (Rev. 8/98) REPORT DOCUMENTATION PAGE Prescribed by ANSI Std. Z39.18 Form Approved ↗no summary yetDavid M. Blei, Omb No2013
  29. Comment ↗Journal of the American Statistical Association · no summary yetDavid M. Blei2013
  30. Scalable recommendation with Poisson factorization. arXiv preprint arXiv:1311.1704 ↗no summary yetPrem Gopalan, Laurent Charlin, David M. Blei2013
  31. blei at cs.princeton.edu ↗no summary yetMatthew D. Hoffman, David M. Blei, Perry R. Cook2013
  32. LI ET AL. 243 Nonparametric Bayes Pachinko Allocation ↗no summary yetWei Li, David M. Blei, Andrew Mccallum2013
  33. Competing Interests: The au... ↗no summary yetJeremy R. Manning et al.2013
  34. Submitted Journal Papers ↗no summary yetMingyuan Zhou et al.2013
  35. Hierarchical bayesian modeling: efficient inference and applications ↗no summary yetDavid M. Blei, Chong Wang2012
  36. Journal of Machine Learning Research () Submitted; Published Distance Dependent Chinese Restaurant Processes ↗no summary yetDavid M. Blei, Peter I. Frazier, Carl Edward Rasmussen2012
  37. Mixtures-of-Clusterings by Boosting ↗no summary yetJonathan Chang, David M. Blei2012
  38. Extracting information from high-dimensional data: probabilistic modeling, inference and evaluation ↗no summary yetIngrid C. Daubechies, David M. Blei, Gungor Polatkan2012
  39. Distance dependent infinite latent feature models, arXiv ↗no summary yetSamuel J. Gershman, Peter I. Frazier, David M. Blei2012
  40. Parallel MCMC with generalized elliptical slice sampling. arXiv preprint arXiv:1210.7477 ↗no summary yetRobert Nishihara et al.2012
  41. Invited to IBM Statistical Machine Learning and Its Application(SMILe) Open House, 2009. ↗no summary yetChong Wang et al.2012
  42. A split-merge MCMC algorithm for the hierarchical Dirichlet process. arXiv preprint arXiv:1201.1657 ↗no summary yetChong Wang, David M. Blei2012
  43. COS513: FOUNDATIONS OF PROBABILISTIC MODELS ↗no summary yetDavid M. Blei2011
  44. Distance dependent infinite latent feature models. arXiv preprint arXiv:1110.5454 ↗no summary yetSamuel J. Gershman, Peter I. Frazier, David M. Blei2011
  45. A topographic latent source model for . . . ↗no summary yetSamuel J. Gershman et al.2011
  46. Online Learning for Mixed Membership Network Models ↗no summary yetPrem Gopalan et al.2011
  47. Bayesian nonparametrics, Generalized linear models, Posterior consistency ↗no summary yetLauren A. Hannah, David M. Blei, Warren B. Powell2011
  48. Probabilistic Additive Component Analysis A Latent Variable Model for Dimensionality Reduction of Human fMRI Datasets ↗no summary yetDavid Weiss et al.2011
  49. Focused Topic Models ↗no summary yetSinead Williamson et al.2011
  50. Stochastic Search with an Observable State Variable ↗arXiv (Cornell University) · no summary yetHannah, Lauren A., Warren B. Powell, David M. Blei2010
  51. \tThe nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies ↗no summary yetDavid M. Blei, Thomas L. Griffiths, Michael I. Jordan2010
  52. Submitted to the Annals of Applied Statistics HIERARCHICAL RELATIONAL MODELS FOR DOCUMENT NETWORKS ↗no summary yetJonathan Chang, David M. Blei2010
  53. Multilingual Topic Models for Unaligned Text Jordan Boyd-Graber ↗no summary yetOlden Street, David M. Blei2010
  54. Supplement to Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process ↗no summary yetChong Wang, David M. Blei2010
  55. D.M.: Multilingual topic models for unaligned text ↗no summary yetDavid M. Blei2009
  56. Truth in Data ↗no summary yetDavid M. Blei2009
  57. 1 Connections between the Lines: Augmenting Social Networks with Text ↗no summary yet{jonathan Chang et al.2009
  58. Finding latent sources in recorded music with a shift-invariant HDP ↗no summary yetMatthew D. Hoffman, David M. Blei, Perry R. Cook2009
  59. Blei/The Discrete Infinite Logistic Normal Distribution 31 ↗no summary yetJohn Paisley, Chong Wang, David M. Blei2009
  60. Combining stochastic block models and mixed membership for statistical network analysis. Statistical Network Analysis ↗no summary yetEdoardo M. Airoldi et al.2007
  61. Mixed membership stochastic blockmodels. arXiv ↗no summary yetEdoardo M. Airoldi et al.2007
  62. Statistical network analysis: Models, issues and new ↗no summary yetEdoardo M. Airoldi et al.2007
  63. Correction: A correlated topic model of Science ↗arXiv (Cornell University) · no summary yetDavid M. Blei, Lafferty, John D.2007
  64. PU-BCD: Exponential Family Models for the Coarse- and Fine-Grained All-Words Tasks ↗Proceedings of the Fourth International Workshop on Semantic Evaluations (SemEval-2007) · no summary yetJonathan Chang, Miroslav Dudík, David Blei2007
  65. Probabilistic Additive Component Analysis A Latent Variable Model for Dimensionality Reduction of Human Functional Magnetic Resonance Images ↗no summary yetDavid Weiss et al.2007
  66. Admixtures of latent blocks with application to protein interaction networks. Manuscript under review ↗no summary yetEdoardo M. Airoldi, David M. Blei2006
  67. E.P.: Stochastic block models of mixed membership. Manuscript under review ↗no summary yetEdoardo M. Airoldi et al.2006
  68. Proceedings of the 2006 conference on Statistical network analysis ↗no summary yetEdoardo M. Airoldi et al.2006
  69. Variational Inference and Learning for a Unied Model of Syntax, Semantics and Morphology ↗no summary yetLeonid Kontorovich, David M. Blei2006
  70. Hierarchical topic models and the nested Chinese restaurant process. NIPS ↗no summary yetDavid M. Blei et al.2004
  71. DOI:\t 10.1145/1015330.1015439\t ·\t Source:\t CiteSeer CITATIONS ↗no summary yetMichael I. Jordan, David M. Blei2004
  72. Source:\t DBLP CITATIONS ↗no summary yetMichael I. Jordan, David M. Blei2004
  73. Variational inference in a truncated Dirichlet process ↗no summary yetDavid M. Blei, Michael I. Jordan2003
  74. Learning with Scope, ↗no summary yetWith Application To et al.2002
  75. July 2001Topic Segmentation with an Aspect Hidden Markov Model ↗no summary yetDavid M. Blei et al.2001
  76. Shortest Paths in a Dynamic Uncertain Domain ↗no summary yetDavid M. Blei, Leslie Pack Kaelbling1999
  77. Reasoning Systems: 1990, Refine User's Guide ↗no summary yetSamuel J. Gershman, David M. Blei1987

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