On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons.
Wenbo RenJia LiuNess B. ShroffPublished in: NeurIPS (2019)
Keyphrases
- upper and lower bounds
- sample complexity
- marginal probabilities
- upper bound
- theoretical analysis
- lower bound
- pac learning
- vc dimension
- learning problems
- learning algorithm
- special case
- supervised learning
- active learning
- generalization error
- training examples
- sample size
- noisy data
- irrelevant features
- uniform convergence
- training data
- concept classes
- average case
- dnf formulas
- data mining
- small number
- semi supervised
- learning process
- machine learning