Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation.
Xiaobin HuangLei SongKe XueChao QianPublished in: CoRR (2023)
Keyphrases
- kernel density estimation
- probability density function
- density function
- beta distribution
- probability density
- mean shift
- density estimation
- global optimization
- density estimates
- bayesian networks
- computer vision
- distance function
- mixture model
- object segmentation
- graph cuts
- maximum likelihood
- higher dimensional
- language model
- k means