Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models.
Rasoul ShahsavarifarJithu ChandranMario InchiosaAmit DeshpandeMario SchlenerVishal GossainYara EliasVinaya MuraliPublished in: CoRR (2022)
Keyphrases
- learning models
- learning algorithm
- credit risk
- machine learning
- classification models
- machine learning algorithms
- loss function
- learning tasks
- semi supervised learning
- learning problems
- supervised learning
- bayesian networks
- conditional random fields
- neural network
- feature selection
- credit scoring
- credit risk evaluation
- transfer learning
- logistic regression
- labeled data
- semi supervised
- data mining