FairUDT uses uplift-style divergence splitting and selective leaf relabeling to reduce demographic parity and average odds gaps on three fairness benchmarks, with test-set relabeling in its main evaluation.
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FairUDT: Fairness-aware Uplift Decision Trees
FairUDT uses uplift-style divergence splitting and selective leaf relabeling to reduce demographic parity and average odds gaps on three fairness benchmarks, with test-set relabeling in its main evaluation.