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The variational Laplace approach to approximate Bayesian inference
v1v2 (latest)

The variational Laplace approach to approximate Bayesian inference

2 March 2017
J. Daunizeau
    BDL
ArXiv (abs)PDFHTML

Papers citing "The variational Laplace approach to approximate Bayesian inference"

5 / 5 papers shown
Title
Variational Laplace for Bayesian neural networks
Variational Laplace for Bayesian neural networks
Ali Unlu
Laurence Aitchison
UQCVBDL
92
1
0
20 Nov 2020
Variational Bayesian modelling of mixed-effects
Variational Bayesian modelling of mixed-effects
J. Daunizeau
29
4
0
21 Mar 2019
Semi-analytical approximations to statistical moments of sigmoid and
  softmax mappings of normal variables
Semi-analytical approximations to statistical moments of sigmoid and softmax mappings of normal variables
J. Daunizeau
82
42
0
01 Mar 2017
Linear Response Methods for Accurate Covariance Estimates from Mean
  Field Variational Bayes
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes
Ryan Giordano
Tamara Broderick
Michael I. Jordan
124
84
0
12 Jun 2015
Inferring Parameters and Structure of Latent Variable Models by
  Variational Bayes
Inferring Parameters and Structure of Latent Variable Models by Variational Bayes
H. Attias
CMLBDL
100
668
0
23 Jan 2013
1