Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning.
Jian WuSaul Toscano-PalmerinPeter I. FrazierAndrew Gordon WilsonPublished in: UAI (2019)
Keyphrases
- gaussian processes
- optimization algorithm
- practical application
- fine tuning
- data driven
- parameter optimization
- model selection
- real world
- monte carlo sampling
- bayesian learning
- hyperparameters
- global optimization
- maximum likelihood
- bayesian networks
- image segmentation
- posterior probability
- combinatorial optimization
- bayesian inference
- posterior distribution
- gaussian process
- optimization problems
- optimization model
- genetic algorithm
- bi level
- data sets