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