Tight Bounds for Collaborative PAC Learning via Multiplicative Weights.
Jiecao ChenQin ZhangYuan ZhouPublished in: NeurIPS (2018)
Keyphrases
- tight bounds
- pac learning
- upper bound
- sample complexity
- uniform distribution
- sample size
- computational learning theory
- learning theory
- learning problems
- vc dimension
- target concept
- concept classes
- decision lists
- pac learnability
- lower bound
- membership queries
- agnostic learning
- statistical queries
- mistake bound
- pac model
- concept class
- boolean functions
- kernel methods
- worst case
- supervised learning