Sparse Gaussian Process Variational Autoencoders.
Matthew AshmanJonathan SoWilliam TebbuttVincent FortuinMichael PearceRichard E. TurnerPublished in: CoRR (2020)
Keyphrases
- gaussian process
- covariance function
- sparse approximations
- sparse approximation
- gaussian processes
- gaussian process regression
- regression model
- latent variables
- approximate inference
- model selection
- denoising
- bayesian framework
- hyperparameters
- gaussian process classification
- expectation propagation
- variational methods
- sparse coding
- semi supervised
- high dimensional
- image segmentation
- clustering algorithm
- cross validation
- non stationary
- marginal likelihood
- optical flow
- gaussian process models
- closed form
- higher order