Who Cited It

An Introduction to Variational Methods for Graphical Models

1999 · Machine Learning · 3,793 citations · 16 from inside this corpus

Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola, Lawrence K. Saul

No abstract in the source record.

An Introduction to Variational Methods for Graphical Models (1999)An Introduction to Variationa…Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1988)Probabilistic Reasoning in In…Introduction to Bayesian Networks (2019)Introduction to Bayesian Netw…Learning in Graphical Models (1998)Learning in Graphical ModelsUCI Repository of Machine Learning Databases (1996)UCI Repository of Machine Lea…A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants (1998)A View of the Em Algorithm th…A Tutorial on Learning with Bayesian Networks (2008)A Tutorial on Learning with B…Elements of Information Theory (1992)Elements of Information TheoryLatent dirichlet allocation (2003)Latent dirichlet allocationProbabilistic topic models (2012)Probabilistic topic modelsVariational Inference: A Review for Statisticians (2017)Variational Inference: A Revi…Graphical Models, Exponential Families, and Variational Inference (2007)Graphical Models, Exponential…A review of uncertainty quantification in deep learning: Techniques, applications and cha… (2021)A review of uncertainty quant…Dynamic bayesian networks: representation, inference and learning (2002)Dynamic bayesian networks: re…What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? (2017)What Uncertainties Do We Need…Variational Inference: A Review for Statisticians (2023)Variational Inference: A Revi…Probabilistic machine learning and artificial intelligence (2015)Probabilistic machine learnin…The max-min hill-climbing Bayesian network structure learning algorithm (2006)The max-min hill-climbing Bay…Variational Algorithms for Approximate Bayesian Inference (2003)Variational Algorithms for Ap…Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and … (2021)Aleatoric and epistemic uncer…Learning from Labeled and Unlabeled Data with Label Propagation (2002)Learning from Labeled and Unl…Mixed Membership Stochastic Blockmodels. (2008)Mixed Membership Stochastic B…Variational inference for Dirichlet process mixtures (2006)Variational inference for Dir…Stochastic variational inference (2013)Stochastic variational infere…
23 of 23 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference198816,981
Introduction to Bayesian Networks20192,594
Learning in Graphical Models19982,437
UCI Repository of Machine Learning Databases19962,343
A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants19982,196
A Tutorial on Learning with Bayesian Networks20081,715
Elements of Information Theory19921,425

What cites it, inside the corpus

PaperYearCited
Latent dirichlet allocation200327,078
Probabilistic topic models20125,623
Variational Inference: A Review for Statisticians20173,843
Graphical Models, Exponential Families, and Variational Inference20073,171
A review of uncertainty quantification in deep learning: Techniques, applications and cha…20212,644
Dynamic bayesian networks: representation, inference and learning20022,604
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?20172,537
Variational Inference: A Review for Statisticians20232,169
Probabilistic machine learning and artificial intelligence20152,031
The max-min hill-climbing Bayesian network structure learning algorithm20061,862
Variational Algorithms for Approximate Bayesian Inference20031,736
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and …20211,596
Learning from Labeled and Unlabeled Data with Label Propagation20021,570
Mixed Membership Stochastic Blockmodels.20081,540
Variational inference for Dirichlet process mixtures20061,489
Stochastic variational inference20131,480

Links

DOI · Open access copy · OpenAlex record

Topics

Bayesian Modeling and Causal InferenceComputer Science
Bayesian Methods and Mixture ModelsComputer Science
Gaussian Processes and Bayesian InferenceComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports95 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:46+00:00.

sha256 bba2969b3567609a…