High Dimensional Bayesian Optimization Assisted by Principal Component Analysis.
Elena RaponiHao WangMariusz BujnySimonetta BoriaCarola DoerrPublished in: CoRR (2020)
Keyphrases
- principal component analysis
- high dimensional
- dimensionality reduction
- low dimensional
- dimension reduction
- optimization algorithm
- principal components
- feature space
- lower dimensional
- global optimization
- independent component analysis
- bayesian estimation
- optimization problems
- linear discriminant analysis
- face recognition
- high dimensional problems
- discriminant analysis
- high dimensionality
- covariance matrix
- data driven
- feature extraction
- bayesian networks
- efficient optimization
- similarity search
- maximum likelihood
- nearest neighbor
- monte carlo sampling
- random projections
- sparse data
- neural network
- constrained optimization
- posterior probability
- singular value decomposition
- face images
- probability distribution
- evolutionary algorithm
- computer vision