While conventional ranking systems focus solely on maximizing the utilit...
We propose a method that enables practitioners to conveniently incorpora...
Fair prediction methods have primarily been built around existing
classi...
We propose a robust adversarial prediction framework for general multicl...
In many structured prediction problems, complex relationships between
va...
Under covariate shift, training (source) data and testing (target) data
...