While training fair machine learning models has been studied extensively...
This work concerns the development of deep networks that are certifiably...
The ubiquity of missing values in real-world datasets poses a challenge ...
In this paper, we propose a new notion of fairness violation, called
Exp...
We study the optimization problem for decomposing d dimensional
fourth-o...
Machine learning algorithms have been increasingly deployed in critical
...