Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking.
Robin VogelAurélien BelletStéphan ClémençonPublished in: CoRR (2020)
Keyphrases
- generalization bounds
- learning algorithm
- learning problems
- scoring functions
- data dependent
- learning theory
- generalization ability
- learning process
- learning tasks
- reinforcement learning
- kernel machines
- learning machines
- vc dimension
- ranking algorithm
- decision trees
- statistical learning theory
- binary classification
- theoretical analysis
- supervised learning
- inductive inference
- benchmark datasets
- model selection
- active learning
- support vector
- bipartite ranking