Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes.
Linfeng LiuLiping LiuPublished in: CoRR (2018)
Keyphrases
- gaussian processes
- gaussian process
- variational inference
- hyperparameters
- regression model
- approximate inference
- bayesian framework
- dirichlet process
- bayesian inference
- latent variables
- model selection
- multi task learning
- semi supervised
- probabilistic model
- cross validation
- image segmentation
- network structure
- latent dirichlet allocation
- posterior distribution
- active learning