Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds.
Shion TakenoYu InatsuMasayuki KarasuyamaPublished in: ICML (2023)
Keyphrases
- gaussian process
- gaussian processes
- upper confidence bound
- regret bounds
- contextual bandit
- lower bound
- hyperparameters
- upper bound
- regression model
- bayesian framework
- bayesian inference
- approximate inference
- posterior distribution
- model selection
- latent variables
- posterior probability
- bayesian networks
- semi supervised
- online learning
- maximum likelihood
- linear regression
- prior information
- cross validation
- prior knowledge
- noise level
- text mining
- variational methods
- sample size
- graph cuts