Efficient, Noise-Tolerant, and Private Learning via Boosting.
Mark BunMarco Leandro CarmosinoJessica SorrellPublished in: CoRR (2020)
Keyphrases
- noise tolerant
- malicious noise
- learning algorithm
- instance based learning algorithms
- noisy data
- agnostic learning
- learning process
- statistical queries
- active learning
- learning problems
- pac model
- supervised learning
- reinforcement learning
- learning tasks
- positive and negative
- inductive learning
- concept learning
- theoretical analysis
- small number
- linear threshold
- upper bound
- classification noise
- data streams