Implicit Posterior Variational Inference for Deep Gaussian Processes.
Haibin YuYizhou ChenZhongxiang DaiKian Hsiang LowPatrick JailletPublished in: CoRR (2019)
Keyphrases
- variational inference
- gaussian process
- gaussian processes
- hyperparameters
- bayesian framework
- posterior distribution
- regression model
- approximate inference
- model selection
- multi task learning
- latent variables
- dirichlet process
- semi supervised
- bayesian inference
- closed form
- cross validation
- maximum a posteriori
- random sampling
- sample size
- generative model
- information extraction
- probability distribution
- exact inference
- probabilistic model
- machine learning