Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes.
Linfeng LiuLiping LiuPublished in: AISTATS (2019)
Keyphrases
- gaussian processes
- gaussian process
- variational inference
- regression model
- hyperparameters
- dirichlet process
- bayesian inference
- approximate inference
- bayesian framework
- latent variables
- model selection
- semi supervised
- posterior distribution
- closed form
- network structure
- multi task learning
- topic models
- probabilistic graphical models
- prior information
- probabilistic model
- exact inference
- mixture model
- particle filter
- dimensionality reduction
- higher order
- worst case