Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
Juliusz ZiomekHaitham Bou-AmmarPublished in: CoRR (2023)
Keyphrases
- high dimensional
- low dimensional
- similarity search
- bayesian networks
- sparse data
- bayesian inference
- dimensionality reduction
- genetic algorithm
- bayesian estimation
- bayesian learning
- manifold learning
- data driven
- high dimensionality
- bayesian decision
- input space
- nearest neighbor
- high dimensional data
- multi modal
- noisy data
- parameter space
- multi dimensional
- bayesian analysis
- metric space
- data points
- posterior distribution
- gaussian processes
- feature space
- pattern recognition
- objective function
- decision trees