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