Revisiting Agnostic PAC Learning.
Steve HannekeKasper Green LarsenNikita ZhivotovskiyPublished in: CoRR (2024)
Keyphrases
- pac learning
- uniform distribution
- computational learning theory
- learning theory
- sample size
- sample complexity
- learning problems
- pac learnability
- concept classes
- target concept
- vc dimension
- membership queries
- theoretical analysis
- machine learning
- supervised learning
- cross validation
- image compression
- special case
- feature extraction
- feature selection
- statistical queries
- learning algorithm
- agnostic learning