Self-Correcting Bayesian Optimization through Bayesian Active Learning.
Carl HvarfnerErik HellstenFrank HutterLuigi NardiPublished in: NeurIPS (2023)
Keyphrases
- active learning
- bayesian networks
- maximum likelihood
- data driven
- bayesian inference
- bayesian learning
- bayesian decision
- data sets
- monte carlo sampling
- decision making
- efficient optimization
- posterior distribution
- decision theory
- optimization methods
- selective sampling
- bayesian methods
- experimental design
- database
- optimization method
- evolutionary algorithm
- machine learning
- real time