Fairness without Harm: Decoupled Classifiers with Preference Guarantees.
Berk UstunYang LiuDavid C. ParkesPublished in: ICML (2019)
Keyphrases
- support vector
- training set
- test set
- linear classifiers
- decision trees
- training data
- class labels
- user preferences
- multiple classifiers
- classification models
- supervised classification
- game theory
- machine learning algorithms
- majority voting
- feature set
- classification systems
- data sets
- multiple classifier systems
- naive bayes
- preference elicitation
- classifier combination
- individual preferences
- classification decisions
- classifier ensemble
- learning classifier systems
- classification rate
- ensemble learning
- resource allocation
- training examples
- training samples
- feature selection
- machine learning