Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective.
Vu NguyenVaden MasraniRob BrekelmansMichael A. OsborneFrank WoodPublished in: NeurIPS (2020)
Keyphrases
- gaussian process
- gaussian processes
- approximate inference
- free energy
- gaussian process regression
- hyperparameters
- regression model
- bayesian framework
- gaussian process classification
- model selection
- random sampling
- variational methods
- latent variables
- semi supervised
- sparse approximations
- expectation propagation
- covariance function
- gaussian process models
- data sets
- belief propagation
- closed form
- marginal likelihood
- prior knowledge