Cost-aware Bayesian Optimization.
Eric Hans LeeValerio PerroneCédric ArchambeauMatthias W. SeegerPublished in: CoRR (2020)
Keyphrases
- optimization problems
- optimization process
- optimization algorithm
- global optimization
- cost reduction
- evolutionary algorithm
- data sets
- discrete optimization
- decision variables
- expected cost
- optimization model
- constrained optimization
- real time
- optimization methods
- maximum likelihood
- data driven
- query plan
- bayesian learning
- bayesian networks
- bayesian estimation
- image segmentation
- genetic algorithm
- monte carlo sampling
- cost benefit analysis