Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification.
Evgenii ChzhenChristophe DenisMohamed HebiriLuca OnetoMassimiliano PontilPublished in: NeurIPS (2019)
Keyphrases
- binary classification
- labeled and unlabeled data
- learning problems
- semi supervised learning
- semi supervised
- learning tasks
- unlabeled data
- labeled data
- multi class
- multi label
- support vector
- cost sensitive
- generalization error
- supervised learning
- class labels
- co training
- text classification
- support vector machine
- training data
- ensemble methods
- active learning
- prediction accuracy
- class imbalance
- learning algorithm
- machine learning
- decision boundary
- text categorization
- feature selection
- machine learning algorithms
- model selection
- pairwise
- training examples
- learning styles
- feature space
- multiple kernel learning
- data mining