FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data.
Zhun DengJiayao ZhangLinjun ZhangTing YeYates ColeyWeijie J. SuJames ZouPublished in: ICLR (2023)
Keyphrases
- imbalanced data
- svm classifier
- imbalanced data sets
- class distribution
- ensemble classifier
- support vector machine
- linear regression
- ensemble methods
- feature selection
- classification models
- training set
- random forest
- decision trees
- training data
- class imbalance
- minority class
- sampling methods
- support vector
- imbalanced datasets
- ensemble learning
- training process
- decision boundary
- base classifiers
- kernel function
- support vector machine svm
- random forests
- image classification