Interventional Fairness : Causal Database Repair for Algorithmic Fairness
Summary: Introduces interventional fairness by framing algorithmic fairness as a causal database repair problem. Shows sufficient conditions via admissible variables (not full causal models), develops repair algorithms with provable fairness guarantees, and demonstrates improvements on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Babak Salimi
- 2. Luke Rodriguez
- 3. Bill Howe
- 4. Dan Suciu
Incoming Citations (Sorted by Pagerank)
Showing 37 of 37 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,810 | Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) | 2018 | SIGMOD | 8.0810163e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,256 | DENOUNCER: Detection of Unfairness in Classifiers | 2021 | VLDB | - |
| 4,018 | Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching | 2023 | VLDB | 6.5244015e-05 |
| 4,935 | OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning | 2021 | SIGMOD | 5.8198727e-05 |
| 9,644 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD | 4.3109001e-05 |
| 1,867 | Interpretable Data-Based Explanations for Fairness Debugging | 2022 | SIGMOD | 0.00010272055 |
| 5,409 | Operationalizing Individual Fairness with Pairwise Fair Representations | 2020 | VLDB | 5.5236357e-05 |
| 7,046 | Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification | 2022 | SIGMOD | 4.8525913e-05 |
| 4,769 | Automated Feature Engineering for Algorithmic Fairness | 2021 | VLDB | 5.934329e-05 |
| 7,851 | Consistent Range Approximation for Fair Predictive Modeling | 2023 | VLDB | 4.6353072e-05 |
| 7,602 | Causal Feature Selection for Algorithmic Fairness | 2022 | SIGMOD | 4.6988081e-05 |