Who Cited It

Variational Algorithms for Approximate Bayesian Inference

2003 · 1,736 citations · 5 from inside this corpus

Matthew J. Beal

The source holds an abstract for this work, but its best open-access copy is under cc-by-nc-nd, which does not permit us to republish the text. Read it at the source below.

Variational Algorithms for Approximate Bayesian Inference (2003)Variational Algorithms for Ap…Neural networks for pattern recognition (1994)Neural networks for pattern r…Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference (1988)Probabilistic Reasoning in In…Bayesian Data Analysis (1995)Bayesian Data AnalysisAn introduction to hidden Markov models (1986)An introduction to hidden Mar…Local Computations with Probabilities on Graphical Structures and Their Application to Ex… (1988)Local Computations with Proba…The Handbook of brain theory and neural networks (1996)The Handbook of brain theory …An Introduction to Variational Methods for Graphical Models (1999)An Introduction to Variationa…Learning Bayesian Networks: The Combination of Knowledge and Statistical Data (1995)Learning Bayesian Networks: T…Statistical Inference for Probabilistic Functions of Finite State Markov Chains (1966)Statistical Inference for Pro…Introduction to Bayesian Networks (2019)Introduction to Bayesian Netw…Learning in Graphical Models (1998)Learning in Graphical ModelsMarkov Chain Sampling Methods for Dirichlet Process Mixture Models (2000)Markov Chain Sampling Methods…A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants (1998)A View of the Em Algorithm th…Maximum likelihood estimates of linear dynamic systems (1965)Maximum likelihood estimates …Mixtures of Probabilistic Principal Component Analyzers (1999)Mixtures of Probabilistic Pri…A Tutorial on Learning with Bayesian Networks (2008)A Tutorial on Learning with B…Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Lapl… (2009)Approximate Bayesian Inferenc…Hierarchical Dirichlet Processes (2006)Hierarchical Dirichlet Proces…Graphical Models, Exponential Families, and Variational Inference (2007)Graphical Models, Exponential…Stochastic Backpropagation and Approximate Inference in Deep Generative Models (2014)Stochastic Backpropagation an…Variational inference for Dirichlet process mixtures (2006)Variational inference for Dir…
21 of 21 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
Neural networks for pattern recognition199418,720
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference198816,981
Bayesian Data Analysis199513,754
An introduction to hidden Markov models19864,812
Local Computations with Probabilities on Graphical Structures and Their Application to Ex…19883,977
The Handbook of brain theory and neural networks19963,915
An Introduction to Variational Methods for Graphical Models19993,793
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data19953,262
Statistical Inference for Probabilistic Functions of Finite State Markov Chains19662,811
Introduction to Bayesian Networks20192,594
Learning in Graphical Models19982,437
Markov Chain Sampling Methods for Dirichlet Process Mixture Models20002,217
A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants19982,196
Maximum likelihood estimates of linear dynamic systems19651,962
Mixtures of Probabilistic Principal Component Analyzers19991,906
A Tutorial on Learning with Bayesian Networks20081,715

What cites it, inside the corpus

PaperYearCited
Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Lapl…20095,476
Hierarchical Dirichlet Processes20063,580
Graphical Models, Exponential Families, and Variational Inference20073,171
Stochastic Backpropagation and Approximate Inference in Deep Generative Models20142,647
Variational inference for Dirichlet process mixtures20061,489

Links

Open access copy · OpenAlex record

Topics

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

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complete

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  • supports1 author record(s) attached.
  • supports134 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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