Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process.
Maxim A. ZiatdinovAyana GhoshSergei V. KalininPublished in: Mach. Learn. Sci. Technol. (2022)
Keyphrases
- gaussian process
- gaussian processes
- active learning
- semi supervised
- hyperparameters
- marginal likelihood
- gaussian process regression
- regression model
- model selection
- approximate inference
- random sampling
- posterior distribution
- expectation propagation
- bayesian framework
- gaussian process classification
- latent variables
- gaussian process models
- fully bayesian
- bayesian inference
- maximum likelihood
- bayesian networks
- bayesian methods
- covariance function
- posterior probability
- pairwise
- em algorithm
- probabilistic model
- data streams