Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels.
Matthias BitzerMona MeisterChristoph ZimmerPublished in: CoRR (2023)
Keyphrases
- gaussian process
- covariance function
- hyperparameters
- gaussian processes
- bayesian inference
- variational bayes
- model selection
- support vector
- gaussian process regression
- cross validation
- closed form
- bayesian framework
- prior information
- random sampling
- expectation propagation
- posterior distribution
- approximate inference
- em algorithm
- regression model
- noise level
- worst case
- maximum a posteriori
- sample size
- missing values
- maximum likelihood
- non stationary
- latent variables
- bayesian methods
- marginal likelihood
- grid search
- incremental learning
- semi supervised
- incomplete data
- parameter space
- probabilistic model
- error rate
- parameter estimation
- generative model
- data streams
- bayesian networks
- similarity measure