Gaussian Process Bandit Optimization of theThermodynamic Variational Objective.
Vu NguyenVaden MasraniRob BrekelmansMichael A. OsborneFrank WoodPublished in: CoRR (2020)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- gaussian process classification
- regression model
- hyperparameters
- latent variables
- bayesian framework
- model selection
- semi supervised
- approximate inference
- random sampling
- sparse approximations
- gaussian process models
- expectation propagation
- covariance function
- image segmentation
- marginal likelihood
- machine learning
- prior information
- closed form
- parameter estimation
- free energy
- support vector
- multiscale
- learning algorithm