RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels.
Alexander ShmakovAvisek NaugVineet GundechaSahand GhorbanpourRicardo Luna GutierrezAshwin Ramesh BabuAntonio GuillenSoumyendu SarkarPublished in: CASE (2023)
Keyphrases
- high dimensional
- optimization problems
- kernel function
- optimization algorithm
- distribution network
- feature space
- bayesian networks
- optimization process
- belief nets
- kernel machines
- gaussian processes
- bayesian inference
- similarity search
- state transition
- global optimization
- high dimensionality
- kernel methods
- maximum likelihood
- dimensionality reduction
- data points
- support vector
- power system
- linear combination