Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets.
Aaron KleinStefan FalknerSimon BartelsPhilipp HennigFrank HutterPublished in: AISTATS (2017)
Keyphrases
- hyperparameters
- machine learning
- model selection
- posterior distribution
- bayesian inference
- bayesian methods
- gaussian processes
- cross validation
- maximum likelihood
- parameter optimization
- grid search
- support vector
- marginal likelihood
- bayesian framework
- gaussian process
- closed form
- prior information
- noise level
- learning algorithm
- random sampling
- maximum a posteriori
- incremental learning
- em algorithm
- probabilistic model
- feature selection
- sample size
- learning tasks
- computer vision
- incomplete data
- decision trees
- active learning
- data sets
- parameter estimation
- data mining
- bayesian networks
- supervised learning
- parameter space
- missing values