Unexpected Improvements to Expected Improvement for Bayesian Optimization.
Sebastian AmentSamuel DaultonDavid ErikssonMaximilian BalandatEytan BakshyPublished in: CoRR (2023)
Keyphrases
- global optimization
- bayesian networks
- efficient optimization
- optimization algorithm
- optimization problems
- maximum likelihood
- multiscale
- data driven
- optimization process
- monte carlo sampling
- data sets
- bayesian learning
- optimal design
- optimization methods
- combinatorial optimization
- probabilistic model
- artificial neural networks
- decision making