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Solving Bayesian inference problems approximately with variational approaches can provide fast and accurate results.
Unified radio interferometric calibration and imaging with joint uncertainty quantification
Philipp Arras, Philipp Frank, Reimar Leike, Rüdiger Westermann, and Torsten Enßlin · 1903
Earlier work this paper cites.
Mathematical methods of statistics , volume 9
Harald Cramér · 1946
Earlier work this paper cites.
On information and sufficiency
Solomon Kullback and Richard A Leibler · 1951
Earlier work this paper cites.
A generalization of the fréchet-cramér inequality to the case of bayes estimation
MP Schützenberger · 1957
Earlier work this paper cites.
On the attainment of the cramér-rao lower bound
RA Wijsman et al · 1973
Earlier work this paper cites.
Sample-based non-uniform random variate generation
Luc Devroye · 1986
Earlier work this paper cites.
Hybrid monte carlo
Simon Duane, Anthony D Kennedy, Brian J Pendleton, and Duncan Roweth · 1987
Earlier work this paper cites.
Information and the accuracy attainable in the estimation of statistical parameters
C Radhakrishna Rao · 1992
Earlier work this paper cites.
An introduction to the conjugate gradient method without the agonizing pain, 1994
Jonathan Richard Shewchuk et al · 1994
Earlier work this paper cites.
Bayes factors
Robert E Kass and Adrian E Raftery · 1995
Earlier work this paper cites.
Neural learning in structured parameter spaces-natural riemannian gradient
Shun-ichi Amari · 1997
Earlier work this paper cites.
Asymptotic statistics , volume 3
A. W. Van der Vaart · 2000
Earlier work this paper cites.
Assessing approximate inference for binary gaussian process classification
Malte Kuss and Carl Edward Rasmussen · 2005
Earlier work this paper cites.
Pattern Recognition and Machine Learning (Information Science and Statistics)
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Earlier work this paper cites.
Data analysis using regression and multilevel/hierarchical models
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Approximations for binary gaussian process classification
Hannes Nickisch and Carl Edward Rasmussen · 2008
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Gaussian sampling by local perturbations
George Papandreou and Alan L Yuille · 2010
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NIFTY–Numerical Information Field Theory-A versatile PYTHON library for signal inference
Marco Selig, Michael R Bell, Henrik Junklewitz, Niels Oppermann, Martin Reinecke, Maksim Greiner, Carlos Pachajoa, and Torsten A Enßlin · 2013
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New insights and perspectives on the natural gradient method
James Martens · 2014
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Hamiltonian monte carlo for hierarchical models
Michael Betancourt and Mark Girolami · 2015
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Information geometry and its applications
Shun-ichi Amari · 2016
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Variational inference: A review for statisticians
David M Blei, Alp Kucukelbir, and Jon D McAuliffe · 2017
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Automatic differentiation variational inference
Alp Kucukelbir, Dustin Tran, Rajesh Ranganath, Andrew Gelman, and David M Blei · 2017
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Axel Barrau and Silvere Bonnabel · 2013
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Theo Steininger, Jait Dixit, Philipp Frank, Maksim Greiner, Sebastian Hutschenreuter, Jakob Knollmüller, Reimar Leike, Natalia Porqueres, Daniel Pumpe, Martin Reinecke, et al · 2017
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Laplace approximation and natural gradient for gaussian process regression with heteroscedastic student-t model
Marcelo Hartmann and Jarno Vanhatalo · 2018
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Encoding prior knowledge in the structure of the likelihood
Jakob Knollmüller and Torsten A Enßlin · 2018
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Field dynamics inference for local and causal interactions
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