Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks.
Andrew Y. K. FoongDavid R. BurtYingzhen LiRichard E. TurnerPublished in: CoRR (2019)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- bayesian inference
- maximum likelihood
- gaussian distribution
- pattern recognition
- bayesian networks
- genetic algorithm
- computer assisted
- expectation propagation
- probability distribution
- bayesian estimation
- bayesian learning
- fuzzy logic
- artificial neural networks
- recurrent neural networks
- data driven
- gaussian noise
- fuzzy systems
- bayesian decision
- multi layer
- image prior
- multilayer perceptron
- neural nets
- latent variables
- neural network model
- mixture model
- bayesian framework
- training process
- gaussian processes
- markov networks
- prior information
- nonlinear functions
- fault diagnosis
- back propagation
- probabilistic model
- akaike information criterion