Fair and Actionable Causal Prescription Ruleset
Summary: Fairness-aware causal prescription ruleset for actionable recommendations that improve outcomes without widening disparities between protected and non-protected groups. Uses causal reasoning and efficient optimization to search the rule space under fairness and coverage, with real data validation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Benton Li (Cornell University)
- 2. Nativ Levy (Technion)
- 3. Brit Youngmann (Technion)
- 4. Sainyam Galhotra (Cornell University)
- 5. Sudeepa Roy (Duke University)
BibTeX Citation
@inproceedings{li_sigmod25,
title = {{Fair and Actionable Causal Prescription Ruleset}},
author = {Li, Benton and Levy, Nativ and Youngmann, Brit and Galhotra, Sainyam and Roy, Sudeepa},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725293},
url = {https://dl.acm.org/doi/10.1145/3725293},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,660 | Privacy-preserving and Verifiable Causal Prescriptive Analytics | 2026 | SIGMOD | 4.9605343e-05 |
| 10,697 | Causal Explanations for Disparate Trends: Where and Why? | 2026 | SIGMOD | 4.9605343e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 40 of 40 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,672 | Models and Mechanisms for Spatial Data Fairness | 2023 | VLDB |
| 2 | 10,531 | Fair Data Pre-Processing with Imperfect Attribute Space | 2026 | SIGMOD |
| 3 | 4,736 | OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning | 2021 | SIGMOD |
| 4 | 5,428 | Operationalizing Individual Fairness with Pairwise Fair Representations | 2020 | VLDB |
| 5 | 6,718 | Toward Interpretable and Actionable Data Analysis with Explanations and Causality | 2022 | VLDB |
| 6 | 1,954 | Interpretable Data-Based Explanations for Fairness Debugging | 2022 | SIGMOD |
| 7 | 6,897 | Consistent Range Approximation for Fair Predictive Modeling | 2023 | VLDB |
| 8 | 3,749 | Automated Feature Engineering for Algorithmic Fairness | 2021 | VLDB |
| 9 | 804 | Interventional Fairness : Causal Database Repair for Algorithmic Fairness | 2019 | SIGMOD |
| 10 | 6,790 | Causal Feature Selection for Algorithmic Fairness | 2022 | SIGMOD |