Counterfactual explanations play an important role in detecting bias and...
In this work we study robust one- and two-stage problems with discrete
u...
In this work we study binary classification problems where we assume tha...
Compared to classical deep neural networks its binarized versions can be...
In this work we investigate the min-max-min robust optimization problem
...
Robust optimization has been established as a leading methodology to app...
We study deep neural networks with binary activation functions (BDNN), i...
In this article we study the problem of signal recovery for group models...