Research map / Learning theory and algorithms / Fairness
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add fairness constraints (independence and positive balance) with delta=0 to the CATE QP (ablation) | proposed doubly robust CATE estimator · COMPAS recidivism case study | IDP unfairness: 0.32 -> 0.09 | Helped |
| add fairness constraints (independence and positive balance) with delta=0 to the CATE QP (ablation) | proposed doubly robust CATE estimator · COMPAS recidivism case study | PB unfairness: 0.16 -> 0.07 | Helped |
| add fairness constraints with delta=0 (ablation) | proposed doubly robust CATE estimator · COMPAS recidivism case study | recidivism risk: 0.27 -> 0.34 | Hurt |
| fairness constraint on CATE estimation (delta=0) vs. baselines without fairness | proposed method · simulation study | welfare: welfare reduced by 0.13 at the fairest setting | Hurt |
| use EIF-based cross-fitted nuisance estimation instead of plug-in or IPW (ablation) | proposed CATE estimator · simulation study (regret vs sample size) | regret | Helped |
Closest papers by meaning
- A Causal Lens for Learning Long-term Fair Policies (ICLR 2025 · similarity 0.85)
- A Meta-learner for Heterogeneous Effects in Difference-in-Differences (ICML 2025 · similarity 0.85)
- Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding (NeurIPS 2024 · similarity 0.85)
- Towards Safe Policy Learning under Partial Identifiability: A Causal Approach (AAAI 2024 · similarity 0.85)
- FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning (NeurIPS 2025 · similarity 0.85)
- Fair Off-Policy Learning from Observational Data (ICML 2024 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.