Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters.
Sulin LiuXingyuan SunPeter J. RamadgeRyan P. AdamsPublished in: NeurIPS (2020)
Keyphrases
- gaussian process
- hyperparameters
- bayesian inference
- variational bayes
- covariance function
- model selection
- gaussian processes
- cross validation
- bayesian framework
- expectation propagation
- gaussian process regression
- closed form
- random sampling
- prior information
- support vector
- posterior distribution
- sample size
- noise level
- approximate inference
- bayesian methods
- marginal likelihood
- maximum likelihood
- incremental learning
- worst case
- incomplete data
- em algorithm
- maximum a posteriori
- probabilistic model
- regression model
- prior knowledge
- bayesian networks
- semi supervised
- parameter estimation
- missing values
- denoising
- graphical models
- noisy images
- image segmentation