Gaussian Process Behaviour in Wide Deep Neural Networks.
Alexander G. de G. MatthewsMark RowlandJiri HronRichard E. TurnerZoubin GhahramaniPublished in: CoRR (2018)
Keyphrases
- gaussian process
- neural network
- gaussian processes
- gaussian process regression
- regression model
- approximate inference
- model selection
- gaussian process classification
- bayesian framework
- latent variables
- genetic algorithm
- semi supervised
- expectation propagation
- sparse approximations
- gaussian process models
- hyperparameters
- artificial neural networks
- dynamical model
- back propagation
- covariance function
- marginal likelihood
- bayesian networks
- training data
- bayesian inference
- graphical models
- generative model
- closed form