On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization.
Xu CaiJonathan ScarlettPublished in: ICML (2021)
Keyphrases
- gaussian process
- lower bound
- gaussian processes
- regression model
- gaussian process regression
- model selection
- gaussian process classification
- approximate inference
- bayesian framework
- semi supervised
- latent variables
- random sampling
- hyperparameters
- upper bound
- gaussian process models
- worst case
- marginal likelihood
- covariance function
- maximum likelihood
- probabilistic model
- expectation propagation
- sparse approximations
- objective function