Scalable Gaussian Process Variational Autoencoders.
Metod JazbecMatthew AshmanVincent FortuinMichael PearceStephan MandtGunnar RätschPublished in: AISTATS (2021)
Keyphrases
- gaussian process
- gaussian processes
- approximate inference
- gaussian process regression
- regression model
- model selection
- bayesian framework
- hyperparameters
- variational methods
- denoising
- gaussian process classification
- image segmentation
- sparse approximations
- latent variables
- semi supervised
- covariance function
- gaussian process models
- bayesian inference
- expectation propagation
- pairwise
- support vector
- marginal likelihood
- feature selection