Implicit Posterior Variational Inference for Deep Gaussian Processes.
Haibin YuYizhou ChenBryan Kian Hsiang LowPatrick JailletZhongxiang DaiPublished in: NeurIPS (2019)
Keyphrases
- variational inference
- gaussian process
- gaussian processes
- hyperparameters
- posterior distribution
- bayesian framework
- regression model
- model selection
- approximate inference
- latent variables
- semi supervised
- multi task learning
- bayesian inference
- closed form
- dirichlet process
- noise level
- maximum a posteriori
- cross validation
- prior knowledge
- random sampling
- em algorithm
- supervised learning
- variational methods
- pairwise
- multiscale