Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds.
David ReebAndreas DoerrSebastian GerwinnBarbara RakitschPublished in: NeurIPS (2018)
Keyphrases
- gaussian processes
- pac bayesian
- generalization bounds
- distribution free
- learning process
- learning algorithm
- learning problems
- multi task learning
- multi task
- data dependent
- gaussian process
- incremental learning
- prior knowledge
- generalization ability
- active learning
- vc dimension
- kernel machines
- reinforcement learning
- decision trees