Probabilistic inference of Bayesian neural networks with generalized expectation propagation.
Jing ZhaoXiao LiuShaojie HeShiliang SunPublished in: Neurocomputing (2020)
Keyphrases
- probabilistic inference
- approximate inference
- expectation propagation
- neural network
- graphical models
- bayesian networks
- marginal likelihood
- exact inference
- bayesian inference
- message passing
- variational methods
- dynamic bayesian networks
- conditional probabilities
- artificial neural networks
- markov chain monte carlo
- belief propagation
- probabilistic model
- loopy belief propagation
- multilayer perceptron
- belief networks
- density estimation
- gaussian process
- back propagation
- neural network model
- free energy
- posterior probability
- random variables
- generative model
- text mining
- decision trees
- machine learning