On the Sample Complexity of Adversarial Multi-Source PAC Learning.
Nikola KonstantinovElias FrantarDan AlistarhChristoph H. LampertPublished in: CoRR (2020)
Keyphrases
- pac learning
- multi source
- uniform distribution
- data fusion
- information fusion
- learning theory
- sample complexity
- sample size
- learning problems
- multiple sources
- data integration
- data sources
- membership queries
- information integration
- community detection
- generalization error
- databases
- boolean functions
- learning algorithm