Good practices for Bayesian Optimization of high dimensional structured spaces.
Eero SiivolaJavier GonzalezAndrei PaleyesAki VehtariPublished in: CoRR (2020)
Keyphrases
- high dimensional
- low dimensional
- optimization algorithm
- case study
- similarity search
- optimization problems
- global optimization
- maximum likelihood
- discrete data
- structured data
- bayesian inference
- high dimensional data
- bayesian decision
- low dimensional spaces
- monte carlo sampling
- high dimensional problems
- manifold learning
- high dimensionality
- neural network
- data driven
- dimensionality reduction
- bayesian networks
- real world