AI RESEARCH
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
arXiv CS.LG
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ArXi:2605.17118v1 Announce Type: new Differentiable optimization layers are traditionally integrated in predict-then-optimize frameworks where a neural model estimates parameters that subsequently serve as fixed inputs to downstream decision-making optimization problems. In this work, we