Tractable Approximate Gaussian Inference for Bayesian Neural Networks.
James-A. GouletLuong Ha NguyenSaeid AmiriPublished in: CoRR (2020)
Keyphrases
- neural network
- expectation propagation
- bayesian inference
- bayesian networks
- maximum likelihood
- exact computation
- approximate inference
- gaussian process
- bayesian methods
- variational bayes
- artificial neural networks
- bayesian models
- statistical inference
- posterior distribution
- genetic algorithm
- markov chain monte carlo
- belief nets
- probabilistic model
- neural network model
- density estimation
- neural nets
- probabilistic inference
- pattern recognition
- fuzzy logic
- variational inference
- back propagation
- computationally tractable
- graphical models
- feed forward
- posterior probability
- inference process
- recurrent neural networks
- fault diagnosis
- multiscale
- knowledge base
- learning algorithm