Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy.
Ramtin HosseiniLi ZhangBhanu GargPengtao XiePublished in: CoRR (2023)
Keyphrases
- learning scheme
- learning algorithm
- supervised learning
- classification accuracy
- pattern recognition
- multi category
- kernel machines
- support vector
- kernel learning
- generalization ability
- learning tasks
- active learning
- accuracy rate
- high accuracy
- multi task
- unsupervised learning
- incremental learning
- machine learning
- distance metric learning
- optimization algorithm
- learning problems
- training samples
- probabilistic model
- learning process
- decision trees
- learning systems
- prediction accuracy
- support vector machine svm
- classification models
- model selection
- roc curve
- classification rate
- optimization problems
- inductive inference
- perceptual grouping
- feature vectors
- genetic algorithm