Collaborative PAC Learning.
Avrim BlumNika HaghtalabAriel D. ProcacciaMingda QiaoPublished in: NIPS (2017)
Keyphrases
- pac learning
- uniform distribution
- computational learning theory
- learning theory
- sample size
- sample complexity
- learning problems
- target concept
- pac learnability
- membership queries
- agnostic learning
- vc dimension
- statistical queries
- concept classes
- decision lists
- learning algorithm
- memory based learning
- pac learnable
- data mining
- boolean functions
- learning experience
- theoretical analysis
- upper bound
- active learning
- prior knowledge
- training set
- decision trees
- machine learning