Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning.
Jian WuSaul Toscano-PalmerinPeter I. FrazierAndrew Gordon WilsonPublished in: CoRR (2019)
Keyphrases
- genetic algorithm
- optimization method
- gaussian processes
- power system stabilizer
- optimization process
- optimization problems
- real world
- optimization methods
- optimization algorithm
- bayesian networks
- global optimization
- data driven
- fine tuning
- model selection
- practical application
- constrained optimization
- bayesian learning
- maximum likelihood
- hyperparameters
- machine learning
- decision theory
- bayesian estimation
- data sets