Scalable Gaussian Process Variational Autoencoders.
Metod JazbecVincent FortuinMichael PearceStephan MandtGunnar RätschPublished in: CoRR (2020)
Keyphrases
- gaussian process
- gaussian processes
- approximate inference
- gaussian process regression
- model selection
- bayesian framework
- regression model
- semi supervised
- hyperparameters
- denoising
- variational methods
- gaussian process classification
- image segmentation
- latent variables
- gaussian process models
- expectation propagation
- covariance function
- sparse approximations
- cross validation
- prior knowledge
- high dimensional
- marginal likelihood
- sample size
- data streams
- multiscale