Streaming Variational Bayes

Expectation propagation for approximate Bayesian inference

T. P. Minka · 2001

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A family of algorithms for approximate Bayesian inference

T. P. Minka · 2001

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Expectation-propagation for the generative aspect model

T. Minka and J. Lafferty · 2002

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On-line variational Bayesian learning

A. Honkela and H. Valpola · 2003

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Latent Dirichlet allocation

D. M. Blei, A. Y. Ng, and M. I. Jordan · 2003

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Expectation propagation for exponential families

M. Seeger · 2005

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A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation

Y. Teh, D. Newman, and M. Welling · 2006

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Graphical models, exponential families, and variational inference

M. J. Wainwright and M. I. Jordan · 2008

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Online inference of topics with latent Dirichlet allocation

K. R Canini, L. Shi, and T. L Griffiths · 2009

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On smoothing and inference for topic models

A. Asuncion, M. Welling, P. Smyth, and Y. Teh · 2009

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Online learning for latent Dirichlet allocation

M. Hoffman, D. M. Blei, and F. Bach · 2010

Cited alongside, same era.

Stochastic variational inference

M. Hoffman, D. M. Blei, J. Paisley, and C. Wang

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A Bayesian approach to on-line learning

Online inference for LDA (Python code) at

M. Hoffman · 2010

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Hogwild!: A lock-free approach to parallelizing stochastic gradient descent

F. Niu, B. Recht, C. Ré, and S. J. Wright · 2011

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Online variational inference for the hierarchical Dirichlet process

C. Wang, J. Paisley, and D. M. Blei · 2011

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The big data bootstrap

A. Kleiner, A. Talwalkar, P. Sarkar, and M. Jordan · 2012

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An adaptive learning rate for stochastic variational inference

R. Ranganath, C. Wang, D. M. Blei, and E. P. Xing · 2013

Closest in time.