Tight Bounds for Collaborative PAC Learning via Multiplicative Weights.
Jiecao ChenQin ZhangYuan ZhouPublished in: CoRR (2018)
Keyphrases
- pac learning
- tight bounds
- upper bound
- sample complexity
- uniform distribution
- sample size
- vc dimension
- computational learning theory
- learning theory
- learning problems
- concept classes
- target concept
- pac learnability
- mistake bound
- lower bound
- decision lists
- membership queries
- agnostic learning
- generalization error
- memory based learning
- worst case
- special case
- e learning