The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity.
Mark SellkeAleksandrs SlivkinsPublished in: Oper. Res. (2023)
Keyphrases
- sample complexity
- sample size
- theoretical analysis
- upper bound
- learning algorithm
- pac learning
- vc dimension
- generalization error
- learning problems
- special case
- lower bound
- active learning
- random sampling
- supervised learning
- training examples
- sample complexity bounds
- pac learnability
- concept classes
- sampling algorithm
- model selection
- irrelevant features
- training data
- machine learning
- machine learning algorithms
- uniform convergence
- covering numbers
- active exploration
- worst case
- image classification
- number of irrelevant features