Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds.
Kawin EthayarajhPublished in: ACL (2020)
Keyphrases
- sample selection bias
- upper bound
- support vector
- resource allocation
- minimax probability machine
- nearest neighbor classifier
- classification scheme
- lower bound
- feature selection
- training data
- feature space
- classifier systems
- classification method
- support vector machine
- neural network
- learning algorithm
- multiple classifiers
- decision trees
- lower and upper bounds
- decision theory
- linear classifiers
- extracted features
- roc curve
- game theory
- support vector machine svm
- feature set
- rough sets
- high quality
- training process
- uncertain data
- svm classifier
- classification rate
- belief functions
- training examples
- training samples
- classifier ensemble
- recognition rate
- worst case