Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes.
Alkis KalavasisGrigoris VelegkasAmin KarbasiPublished in: NeurIPS (2022)
Keyphrases
- multi class
- concept classes
- concept class
- pac learning
- vc dimension
- multiple instance learning
- sample complexity
- decision lists
- learning algorithm
- uniform distribution
- efficient learning
- learning theory
- binary classification
- support vector machine
- perceptron algorithm
- dnf formulas
- sample size
- membership queries
- pairwise
- multiclass classification
- mistake bound
- upper bound
- objective function
- decision trees
- feature selection