Sparse Orthogonal Variational Inference for Gaussian Processes.
Jiaxin ShiMichalis K. TitsiasAndriy MnihPublished in: AISTATS (2020)
Keyphrases
- variational inference
- gaussian process
- gaussian processes
- covariance function
- hyperparameters
- latent variables
- approximate inference
- bayesian framework
- posterior distribution
- regression model
- model selection
- dirichlet process
- semi supervised
- bayesian inference
- multi task learning
- variational methods
- latent dirichlet allocation
- multiscale
- supervised learning
- probabilistic graphical models
- support vector