Tractable Approximate Gaussian Inference for Bayesian Neural Networks.
James-A. GouletLuong Ha NguyenSaeid AmiriPublished in: J. Mach. Learn. Res. (2021)
Keyphrases
- expectation propagation
- neural network
- bayesian inference
- maximum likelihood
- approximate inference
- bayesian networks
- exact computation
- gaussian process
- variational bayes
- bayesian model
- bayesian models
- pattern recognition
- artificial neural networks
- statistical inference
- density estimation
- bayesian model selection
- posterior distribution
- bayesian methods
- markov chain monte carlo
- inference process
- bayesian learning
- genetic algorithm
- graphical models
- neural network model
- probabilistic model
- feed forward
- variational inference
- np complete
- back propagation
- computational complexity
- prior information
- dynamic bayesian networks
- gaussian processes
- gaussian mixture
- posterior probability
- neural nets
- fault diagnosis
- gaussian distribution
- parameter estimation
- exact inference
- em algorithm
- fuzzy logic