Research map / Learning theory and algorithms / Fairness
Fairness-Aware Learning for Continuous Attributes and Treatments
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add chi2 HGR fairness penalty to NN | NN · COMPAS | DEO: 0.01±0.00 -> 0.00±0.00 | Helped |
| add chi2 HGR fairness penalty to NN | NN · Adult | DEO: 0.14 -> 0.03 | Helped |
| add chi2 HGR fairness penalty to NN | NN · Adult | accuracy: 0.84 -> 0.83 | Hurt |
| add chi2 HGR fairness penalty to NN | NN · German | DEO: 0.47±0.19 -> 0.25±0.14 | Helped |
| add chi2 HGR fairness penalty to NN | NN · Drug | DEO: 0.15±0.16 -> 0.00±0.00 | Helped |
| add chi2 HGR fairness penalty to NN | NN · Arrhythmia | DEO: 0.19±0.14 -> 0.15±0.09 | No clear effect |
| use chi2|1 penalty instead of KL|1 and binarized L2 penalty | linear regression · Communities and Crime | MSE vs HGR trade-off | Helped |
| use DNN instead of linear regression with fairness penalty | fairness-penalized regressor · Communities and Crime | MSE | Helped |
| increase fairness regularization strength | penalized linear regression · Communities and Crime | HGR test fairness | Mixed |
| use binarized L2 penalty (Bechavod & Ligett) with mini-batches | DNN · Communities and Crime | MSE vs HGR trade-off | Hurt |
| HGR-KDE chi2 estimator vs RDC | dependence test · synthetic association patterns | power | Mixed |
| chi2 HGR-KDE vs RDC computation | dependence measure · 500 tuples | runtime: 4.6ms -> 2.0ms | Helped |
Closest papers by meaning
- A Sequentially Fair Mechanism for Multiple Sensitive Attributes (AAAI 2024 · similarity 0.88)
- On the Maximal Local Disparity of Fairness-Aware Classifiers (ICML 2024 · similarity 0.88)
- Reconciling Predictive and Statistical Parity: A Causal Approach (AAAI 2024 · similarity 0.87)
- Geometry of Relaxed Fair Regression: A Unified Framework for Aware and Unaware Settings (NeurIPS 2026 · similarity 0.87)
- Fairness Overfitting in Machine Learning: An Information-Theoretic Perspective (ICML 2025 · similarity 0.87)
- FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation (ICML 2025 · similarity 0.87)
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