Bayesian Optimization with High-Dimensional Outputs.
Wesley J. MaddoxMaximilian BalandatAndrew Gordon WilsonEytan BakshyPublished in: CoRR (2021)
Keyphrases
- high dimensional
- optimization algorithm
- global optimization
- optimization problems
- bayesian networks
- bayesian learning
- optimization methods
- similarity search
- data driven
- data points
- low dimensional
- high dimensional problems
- optimization strategies
- constrained optimization
- optimization process
- feature space
- noisy data
- posterior probability
- optimization model
- decision trees
- discrete optimization
- optimization method
- multi dimensional
- efficient optimization
- monte carlo sampling