Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization.
Bhanu JainManfred HuberRamez ElmasriPublished in: FLAIRS (2023)
Keyphrases
- loss function
- regularization term
- reproducing kernel hilbert space
- risk minimization
- convex loss functions
- solution path
- stochastic gradient descent
- hinge loss
- pairwise
- support vector
- learning to rank
- gradient boosting
- empirical risk
- bregman divergences
- square loss
- base learners
- parameter selection
- gaussian kernels
- semi supervised
- active learning
- training data