Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces.
Alexander ThebeltCalvin TsayRobert M. LeeNathan Sudermann-MerxDavid WalzBehrang ShafeiRuth MisenerPublished in: NeurIPS (2022)
Keyphrases
- feature space
- constrained optimization
- training set
- kernel machines
- neural network
- polynomial kernels
- kernel function
- training data
- efficient optimization
- optimization criteria
- training samples
- tree structure
- constraint satisfaction
- tree kernels
- gaussian processes
- linear constraints
- ensemble learning
- pruning algorithm
- convex constraints
- mercer kernels
- ensemble methods
- optimization algorithm
- feature vectors
- high dimensional
- bayesian networks
- learning algorithm
- random forests
- kernel matrix
- multiple kernel learning
- regression problems
- input space
- decision variables
- image representation
- decision tree classifiers
- objective function
- feature selection