Variational Inference for Gaussian Process Models with Linear Complexity.
Ching-An ChengByron BootsPublished in: NIPS (2017)
Keyphrases
- linear complexity
- variational inference
- gaussian process
- gaussian process models
- gaussian processes
- regression model
- model selection
- semi supervised
- bayesian framework
- latent variables
- hyperparameters
- machine learning
- bayesian inference
- posterior distribution
- topic models
- maximum a posteriori
- closed form
- multiscale
- computer vision