Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models.
Rui LiST JohnArno SolinPublished in: CoRR (2023)
Keyphrases
- approximate inference
- gaussian process
- learning process
- learning algorithm
- reinforcement learning
- graphical models
- belief propagation
- gaussian process models
- gaussian processes
- message passing
- incremental learning
- bayesian networks
- higher order
- probabilistic inference
- supervised learning
- probability distribution
- training data