A Particle-based Sparse Gaussian Process Optimizer.
Chandrajit BajajOmatharv Bharat VaidyaYi WangPublished in: CoRR (2022)
Keyphrases
- gaussian process
- covariance function
- sparse approximations
- gaussian processes
- sparse approximation
- gaussian process regression
- regression model
- model selection
- approximate inference
- semi supervised
- gaussian process classification
- latent variables
- bayesian framework
- sparse representation
- hyperparameters
- marginal likelihood
- expectation propagation
- gaussian process models
- high dimensional
- non stationary
- incremental learning