Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning

David Troxell, Noah Roemer, Guido Montúfar

Differentiable optimization layers are traditionally integrated in predict-then-optimize frameworks where a neural model estimates parameters that subsequently serve as fixed input…