Gaussian Process Priors for View-Aware Inference.
Yuxin HouAri HeljakkaArno SolinPublished in: AAAI (2021)
Keyphrases
- gaussian process
- bayesian framework
- gaussian processes
- covariance function
- variational inference
- expectation propagation
- hyperparameters
- dirichlet process
- dynamical models
- gaussian process regression
- model selection
- regression model
- bayesian inference
- variational bayes
- gaussian process classification
- approximate inference
- gaussian process models
- maximum a posteriori
- latent variables
- marginal likelihood
- dynamical model
- posterior distribution
- prior information
- closed form
- probabilistic inference
- prior knowledge
- semi supervised
- cross validation
- multi task learning
- generative model
- maximum likelihood
- dynamic bayesian networks
- belief networks
- learning process
- sparse approximations
- bayesian networks
- markov chain monte carlo
- probability distribution
- message passing