Research map / Label-efficient and robust learning / Recognition and long-tail
Equality of Opportunity in Supervised Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| enforce equal opportunity instead of demographic parity | FICO threshold classifier · FICO credit scores | profit as % of max profit: 69.8 -> 92.8 | Helped |
| enforce equal opportunity instead of equalized odds | FICO threshold classifier · FICO credit scores | profit as % of max profit: 80.2 -> 92.8 | Helped |
| race-blind single threshold instead of per-group | FICO threshold classifier · FICO credit scores | profit as % of max profit: 99.3% of max profit | No clear effect |
| race-blind or max-profit thresholds versus fairness-constrained thresholds | FICO threshold classifier · FICO credit scores | fraction of non-defaulting black applicants qualifying | Hurt |
| demographic parity thresholds | FICO threshold classifier · FICO credit scores | fraction of non-defaulters qualifying by group | Mixed |
Closest papers by meaning
- Accuracy vs. Accuracy: Computational Tradeoffs Between Classification Rates and Utility (NeurIPS 2026 · similarity 0.87)
- On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints (AAAI 2022 · similarity 0.85)
- Eliminating Latent Discrimination: Train Then Mask (AAAI 2019 · similarity 0.85)
- On preserving non-discrimination when combining expert advice (NeurIPS 2018 · similarity 0.85)
- Individual Fairness In Strategic Classification (NeurIPS 2025 · similarity 0.83)
- Learning with Selectively Labeled Data from Multiple Decision-makers (ICML 2025 · similarity 0.83)
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