Bilevel Programming for Hyperparameter Optimization and Meta-Learning.
Luca FranceschiPaolo FrasconiSaverio SalzoRiccardo GrazziMassimiliano PontilPublished in: ICML (2018)
Keyphrases
- meta learning
- grid search
- bilevel programming
- learning tasks
- inductive learning
- optimality conditions
- model selection
- convex programming
- decision trees
- machine learning algorithms
- learning problems
- data mining
- hyperparameters
- upper level
- machine learning
- supervised learning
- metamodel
- optimization problems
- base classifiers
- multi class
- convergence analysis
- naive bayes
- constrained optimization
- support vector machine
- learning process
- feature selection