Graph-based Discriminators: Sample Complexity and Expressiveness.
Roi LivniYishay MansourPublished in: NeurIPS (2019)
Keyphrases
- sample complexity
- theoretical analysis
- pac learning
- learning problems
- upper bound
- vc dimension
- special case
- lower bound
- active learning
- supervised learning
- learning algorithm
- generalization error
- pac learnability
- semi supervised
- concept classes
- sample size
- training examples
- covering numbers
- irrelevant features
- uniform convergence
- sample complexity bounds
- data sets
- pac model
- number of irrelevant features
- semi supervised learning
- optimal solution
- reinforcement learning
- training data
- similarity measure
- decision trees
- machine learning