Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization.
Wesley MaddoxQing FengMaximilian BalandatPublished in: CoRR (2021)
Keyphrases
- high dimensional
- monte carlo sampling
- global optimization
- optimization problems
- low dimensional
- artificial intelligence
- optimization algorithm
- similarity search
- optimization process
- posterior distribution
- direct optimization
- bayesian decision
- directly optimize
- bayesian estimation
- parameter space
- high dimensionality
- data driven
- numerical simulations
- decision theory
- maximum likelihood
- high dimensional problems
- efficient optimization
- dimensionality reduction
- simultaneous optimization
- nearest neighbor
- feature space