High-dimensional Bayesian Optimization with Group Testing.
Erik Orm HellstenCarl HvarfnerLeonard PapenmeierLuigi NardiPublished in: CoRR (2023)
Keyphrases
- group testing
- high dimensional
- optimization algorithm
- disjoint sets
- global optimization
- efficient optimization
- low dimensional
- sparse data
- similarity search
- bayesian inference
- constrained optimization
- optimization process
- high dimensionality
- maximum likelihood
- bayesian networks
- variable selection
- decision theory
- multi dimensional
- monte carlo sampling
- optimization methods
- particle swarm optimization
- gaussian processes
- bayesian learning
- discrete optimization
- dimensionality reduction
- data points