Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints.
Harry BendekgeyErik B. SudderthPublished in: NeurIPS (2021)
Keyphrases
- lightweight
- decision trees
- training set
- machine learning algorithms
- support vector
- feature set
- linear constraints
- classification algorithm
- resource allocation
- logistic regression
- hard constraints
- highly scalable
- ensemble classifier
- supervised classification
- constrained optimization
- classification models
- constraint satisfaction
- machine learning
- naive bayes
- feature selection
- learning algorithm