The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity.
Mark SellkeAleksandrs SlivkinsPublished in: EC (2021)
Keyphrases
- sample complexity
- sample size
- theoretical analysis
- learning problems
- vc dimension
- learning algorithm
- upper bound
- active learning
- pac learning
- generalization error
- random sampling
- special case
- supervised learning
- lower bound
- pac learnability
- covering numbers
- concept classes
- training examples
- learning tasks
- linear threshold
- sampling algorithm
- semi supervised
- sample complexity bounds
- number of irrelevant features
- active exploration
- pairwise
- irrelevant features
- model selection
- training data
- feature extraction