On Information Gain and Regret Bounds in Gaussian Process Bandits.
Sattar VakiliKia KhezeliVictor PichenyPublished in: AISTATS (2021)
Keyphrases
- information gain
- regret bounds
- gaussian process
- lower bound
- online learning
- linear regression
- decision trees
- text categorization
- feature selection
- model selection
- mutual information
- hyperparameters
- upper bound
- latent variables
- semi supervised
- bayesian framework
- naive bayes
- probabilistic model
- machine learning
- text mining
- image classification
- classification accuracy
- sample size
- learning process
- similarity measure