Sample size planning for conditional counterfactual mean estimation with a K-armed randomized experiment.
Gabriel RuizPublished in: CoRR (2024)
Keyphrases
- sample size
- model selection
- statistical tests
- upper bound
- covariance matrix
- random sampling
- pac learning
- number of training samples
- vc dimension
- small sample
- experimental design
- progressive sampling
- small sample size
- worst case
- generalization error
- statistical hypothesis testing
- learning algorithm
- variance reduction
- small samples
- random samples
- computational complexity
- sample complexity
- statistically significant
- cross validation
- knowledge acquisition
- statistical power
- uniform sampling