Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds.
Vu NguyenMarc Peter DeisenrothMichael A. OsbornePublished in: CoRR (2021)
Keyphrases
- gaussian process
- upper and lower bounds
- expectation propagation
- upper bound
- gaussian processes
- regression model
- gaussian process regression
- lower bound
- approximate inference
- hyperparameters
- bayesian framework
- model selection
- random sampling
- latent variables
- gaussian process models
- lower and upper bounds
- sample size
- sample complexity
- semi supervised
- support vector
- incremental learning
- parameter space
- em algorithm
- worst case
- pairwise
- reinforcement learning
- learning algorithm