PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance.
Taicai ChenYue DuanDong LiLei QiYinghuan ShiYang GaoPublished in: CoRR (2023)
Keyphrases
- gaussian process
- gaussian processes
- high dimensional
- marginal likelihood
- gaussian process regression
- latent variables
- approximate inference
- model selection
- bayesian framework
- fully bayesian
- regression model
- hyperparameters
- expectation propagation
- gaussian process classification
- posterior distribution
- low dimensional
- semi supervised
- sparse approximations
- covariance function
- dimensionality reduction
- latent space
- gaussian process models
- maximum likelihood
- feature space
- bayesian methods
- data points
- posterior probability
- multi label
- parameter space
- nearest neighbor
- sparse approximation
- active learning