Research map / Learning theory and algorithms / Fairness
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Optimize the minimum across all intra- and inter-group AUCs instead of unconstrained overall AUC | AUCMax training on Adult · Adult | Min/Max group AUC: .823±.005 -> .953±.002 | Helped |
| Optimize the minimum across all intra- and inter-group AUCs instead of unconstrained overall AUC | AUCMax training on Bank · Bank | Min/Max group AUC: .780±.018 -> .858±.014 | Helped |
| Optimize the minimum across all intra- and inter-group AUCs instead of unconstrained overall AUC | AUCMax training on Compas · Compas | Overall AUC: .732±.004 -> .741±.004 | Helped |
| Optimize the minimum across all intra- and inter-group AUCs instead of unconstrained overall AUC | AUCMax training on Default · Default | Overall AUC: .763±.005 -> .767±.002 | Helped |
| Optimize the minimum across all intra- and inter-group AUCs instead of unconstrained overall AUC | AUCMax training on Adult · Adult | Overall AUC: .902±.002 -> .901±.004 | Hurt |
| Optimize the minimum across all intra- and inter-group AUCs instead of unconstrained overall AUC | AUCMax training on Bank · Bank | Overall AUC: .910±.002 -> .907±.004 | Hurt |
| Use the minimax AUC objective rather than EqualAUC constraints | Adult · Adult | Overall AUC: .886±.003 -> .901±.004 | Helped |
| Use the minimax AUC objective rather than EqualAUC constraints | Bank · Bank | Overall AUC: .866±.005 -> .907±.004 | Helped |
| Use the minimax AUC objective rather than EqualAUC constraints | Bank · Bank | Min/Max group AUC: .891±.025 -> .858±.014 | Hurt |
| Use the minimax AUC objective rather than EqualAUC constraints | Compas · Compas | Overall AUC: .731±.003 -> .741±.004 | Helped |
| Use the minimax AUC objective rather than EqualAUC constraints | Compas · Compas | Min/Max group AUC: .956±.012 -> .961±.012 | Helped |
| Use only intra-group AUCs, dropping inter-group AUCs (ablation) | MinimaxFairAUC on Adult · Adult | Intra-group AUC fairness | Mixed |
Closest papers by meaning
- Preserving AUC Fairness in Learning with Noisy Protected Groups (ICML 2025 · similarity 0.91)
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- Enhancing Group Fairness in Online Settings Using Oblique Decision Forests (ICLR 2024 · similarity 0.85)
- Intersectional Fairness via Mixed-Integer Optimization (NeurIPS 2026 · similarity 0.85)
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