Who Cited It

Graphical Models, Exponential Families, and Variational Inference

2007 · now publishers, Inc. eBooks · 3,171 citations · 9 from inside this corpus

Martin J. Wainwright, Michael I. Jordan

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Graphical Models, Exponential Families, and Variational Inference (2007)Graphical Models, Exponential…Latent dirichlet allocation (2003)Latent dirichlet allocationIntroduction to Algorithms (1991)Introduction to AlgorithmsProbabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1988)Probabilistic Reasoning in In…Foundations of statistical natural language processing (1999)Foundations of statistical na…Fundamentals of speech recognition (1993)Fundamentals of speech recogn…Local Computations with Probabilities on Graphical Structures and Their Application to Ex… (1988)Local Computations with Proba…An Introduction to Variational Methods for Graphical Models (1999)An Introduction to Variationa…A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants (1998)A View of the Em Algorithm th…Methods of Information Geometry (2007)Methods of Information Geomet…Variational Algorithms for Approximate Bayesian Inference (2003)Variational Algorithms for Ap…On the inherent intractability of certain coding problems (Corresp.) (1978)On the inherent intractabilit…Variational inference for Dirichlet process mixtures (2006)Variational inference for Dir…Expectation Propagation for approximate Bayesian inference (2013)Expectation Propagation for a…Probabilistic topic models (2012)Probabilistic topic modelsSemi-Supervised Learning (2006)Semi-Supervised LearningVariational Inference: A Review for Statisticians (2023)Variational Inference: A Revi…Graph Signal Processing: Overview, Challenges, and Applications (2018)Graph Signal Processing: Over…Kernel methods in machine learning (2008)Kernel methods in machine lea…Hidden factors and hidden topics (2013)Hidden factors and hidden top…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…
22 of 22 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
Latent dirichlet allocation200327,078
Introduction to Algorithms199117,031
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference198816,981
Foundations of statistical natural language processing19999,997
Fundamentals of speech recognition19937,703
Local Computations with Probabilities on Graphical Structures and Their Application to Ex…19883,977
An Introduction to Variational Methods for Graphical Models19993,793
A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants19982,196
Methods of Information Geometry20071,951
Variational Algorithms for Approximate Bayesian Inference20031,736
On the inherent intractability of certain coding problems (Corresp.)19781,518
Variational inference for Dirichlet process mixtures20061,489
Expectation Propagation for approximate Bayesian inference20131,460

What cites it, inside the corpus

PaperYearCited
Probabilistic topic models20125,623
Semi-Supervised Learning20064,334
Variational Inference: A Review for Statisticians20232,169
Graph Signal Processing: Overview, Challenges, and Applications20181,817
Kernel methods in machine learning20081,618
Hidden factors and hidden topics20131,610
Mixed Membership Stochastic Blockmodels.20081,540
Variational inference for Dirichlet process mixtures20061,489
Stochastic variational inference20131,480

Links

DOI · OpenAlex record

Topics

Algorithms and Data CompressionComputer Science
Bayesian Methods and Mixture ModelsComputer Science
Bayesian Modeling and Causal InferenceComputer Science

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports259 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…