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Present techniques in fairness-aware optimization resolve this challenge, having said that, they are often deterministic and fall short of exploiting the knowledge which is out there in facts. Farnadi’s investigation focuses on the complementary strengths of fairness techniques in ML and OR to address these shortcomings in a fair info-pushed deci
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