A Bayesian Take on Gaussian Process Networks.
Enrico GiudiceJack KuipersGiusi MoffaPublished in: NeurIPS (2023)
Keyphrases
- gaussian process
- gaussian processes
- marginal likelihood
- expectation propagation
- gaussian process regression
- hyperparameters
- regression model
- bayesian framework
- fully bayesian
- approximate inference
- model selection
- latent variables
- bayesian inference
- semi supervised
- covariance function
- posterior distribution
- gaussian process models
- gaussian process classification
- posterior probability
- maximum likelihood
- bayesian methods
- bayesian networks
- training data
- human pose estimation
- random sampling
- probabilistic inference
- sparse approximations
- machine learning