On the role of Model Uncertainties in Bayesian Optimization.
Jonathan FoldagerMikkel JordahnLars Kai HansenMichael Riis AndersenPublished in: CoRR (2023)
Keyphrases
- computational model
- high level
- statistical model
- theoretical analysis
- bayesian networks
- optimization scheme
- bayesian estimation
- optimization model
- parameter estimation
- formal model
- neural network model
- bayesian framework
- experimental data
- prior distribution
- bayesian inference
- maximum entropy
- cost function
- social networks
- optimization algorithm
- evolutionary algorithm
- particle swarm optimization
- probability distribution
- probabilistic model