Sparse Orthogonal Variational Inference for Gaussian Processes.
Jiaxin ShiMichalis K. TitsiasAndriy MnihPublished in: CoRR (2019)
Keyphrases
- variational inference
- gaussian process
- gaussian processes
- covariance function
- hyperparameters
- approximate inference
- bayesian inference
- model selection
- multi task learning
- posterior distribution
- regression model
- bayesian framework
- dirichlet process
- latent variables
- semi supervised
- high dimensional
- closed form
- latent dirichlet allocation
- topic models
- mixture model
- support vector
- random sampling
- incremental learning
- cross validation
- variational methods
- probabilistic graphical models
- state space
- probabilistic model