RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels.
Alexander ShmakovAvisek NaugVineet GundechaSahand GhorbanpourRicardo Luna GutierrezAshwin Ramesh BabuAntonio GuillenSoumyendu SarkarPublished in: CoRR (2023)
Keyphrases
- high dimensional
- feature space
- kernel function
- belief nets
- optimization problems
- low dimensional
- fuzzy logic
- distribution network
- dimensionality reduction
- bayesian networks
- similarity search
- constrained optimization
- global optimization
- nearest neighbor
- support vector
- optimization algorithm
- kernel methods
- high dimensionality
- bayesian inference
- gaussian processes
- efficient optimization
- high dimensional data
- optimization method
- generative model
- posterior probability
- metric space
- posterior distribution
- multi dimensional
- kernel machines