Who Cited It

Variational Inference: A Review for Statisticians

2017 · Journal of the American Statistical Association · 3,843 citations · 2 from inside this corpus

No author records on this work.

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.

Variational Inference: A Review for Statisticians (2017)Variational Inference: A Revi…Probabilistic topic models (2012)Probabilistic topic modelsLocal 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…Stochastic Backpropagation and Approximate Inference in Deep Generative Models (2014)Stochastic Backpropagation an…A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants (1998)A View of the Em Algorithm th…Bayesian Theory (1994)Bayesian TheoryIntroduction to Stochastic Search and Optimization (2003)Introduction to Stochastic Se…Variational inference for Dirichlet process mixtures (2006)Variational inference for Dir…Bayesian learning via stochastic gradient langevin dynamics (2011)Bayesian learning via stochas…Expectation Propagation for approximate Bayesian inference (2013)Expectation Propagation for a…A review of uncertainty quantification in deep learning: Techniques, applications and cha… (2021)A review of uncertainty quant…dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidenc… (2020)dynesty: a dynamic nested sam…
12 of 12 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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Probabilistic topic models20125,623
Local Computations with Probabilities on Graphical Structures and Their Application to Ex…19883,977
An Introduction to Variational Methods for Graphical Models19993,793
Stochastic Backpropagation and Approximate Inference in Deep Generative Models20142,647
A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants19982,196
Bayesian Theory19942,168
Introduction to Stochastic Search and Optimization20031,911
Variational inference for Dirichlet process mixtures20061,489
Bayesian learning via stochastic gradient langevin dynamics20111,487
Expectation Propagation for approximate Bayesian inference20131,460

What cites it, inside the corpus

PaperYearCited
A review of uncertainty quantification in deep learning: Techniques, applications and cha…20212,644
dynesty: a dynamic nested sampling package for estimating Bayesian posteriors and evidenc…20202,299

Links

DOI · Open access copy · OpenAlex record

Topics

Gaussian Processes and Bayesian InferenceComputer Science
Bayesian Methods and Mixture ModelsComputer Science
Generative Adversarial Networks and Image SynthesisComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports156 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

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

sha256 bba2969b3567609a…