Research map / Learning theory and algorithms / Fairness
Bayesian Fairness
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Bayesian balance instead of marginal-model balance | Fair decision rules · Synthetic data | fairness violation | Helped |
| Use Bayesian balance instead of marginal-model balance | Fair decision rules · Synthetic data | utility | No clear effect |
| Use Bayesian balance instead of marginal-model balance | Fair decision rules · COMPAS holdout | fairness violation | Helped |
| Use Bayesian balance instead of marginal-model balance | Fair decision rules · COMPAS holdout | utility | No clear effect |
| Use Bayesian balance instead of marginal-model balance when actions determine which outcomes are observed | Sequential allocation policy · COMPAS sequential allocation | utility | Helped |
Closest papers by meaning
- Demystifying Algorithmic Fairness in an Uncertain World (AAAI 2024 · similarity 0.89)
- Fairness in limited resource prediction-driven decisions (NeurIPS 2026 · similarity 0.88)
- Certifying Fairness of Probabilistic Circuits (AAAI 2023 · similarity 0.87)
- Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making (ICML 2024 · similarity 0.87)
- Reconciling Predictive and Statistical Parity: A Causal Approach (AAAI 2024 · similarity 0.87)
- Fair Off-Policy Learning from Observational Data (ICML 2024 · similarity 0.86)
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