Gaussian process surrogate models for neural networks.
Michael Y. LiErin GrantThomas L. GriffithsPublished in: CoRR (2022)
Keyphrases
- gaussian process
- neural network
- gaussian processes
- regression model
- gaussian process regression
- approximate inference
- bayesian framework
- model selection
- gaussian process classification
- latent variables
- semi supervised
- artificial neural networks
- covariance function
- hyperparameters
- expectation propagation
- sparse approximations
- dynamical model
- marginal likelihood
- gaussian process models
- genetic algorithm
- missing values
- similarity measure