Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces.
Alexander ThebeltCalvin TsayRobert M. LeeNathan Sudermann-MerxDavid WalzBehrang ShafeiRuth MisenerPublished in: CoRR (2022)
Keyphrases
- feature space
- constrained optimization
- training set
- feature selection
- polynomial kernels
- pruning algorithm
- convex constraints
- tree structure
- maximum likelihood
- bayesian networks
- feature vectors
- constraint satisfaction
- neural network
- optimization problems
- optimal kernel
- kernel function
- index structure
- gaussian processes
- ensemble methods
- decision trees
- decision variables
- high dimensional
- random forests
- optimization method
- optimization algorithm
- linear combination
- image classification
- ensemble learning
- xml documents
- linear constraints
- lagrange multipliers
- image representation
- dot product
- data points