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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)

Paper ID
5775
Venue
SIGMOD
Year
2019
Pagerank
0.00013531835
Overall Rank
863 | 94.09%
DOI
10.1145/3299869.3319901

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{salimi_sigmod19,
        title = {{Interventional Fairness : Causal Database Repair for Algorithmic Fairness}},
        author = {Salimi, Babak and Rodriguez, Luke and Howe, Bill and Suciu, Dan},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319901},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319901},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 39 of 39 citing papers.

Rank Citing Paper Year Venue Pagerank
1,340 Responsible Data Management 2020 VLDB 0.00011111667
1,951 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 9.4252389e-05
2,584 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.3783546e-05
3,000 Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals 2021 SIGMOD 7.8677069e-05
3,004 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 7.8608629e-05
3,905 Automated Feature Engineering for Algorithmic Fairness 2021 VLDB 7.029145e-05
4,658 OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning 2021 SIGMOD 6.5817368e-05
5,054 Explainable AI: Foundations, Applications, Opportunities for Data Management Research 2022 SIGMOD 6.3843089e-05
5,334 Operationalizing Individual Fairness with Pairwise Fair Representations 2020 VLDB 6.2622047e-05
5,510 Responsible Data Integration: Next-generation Challenges 2022 SIGMOD 6.1919207e-05
6,352 OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport 2024 SIGMOD 5.9042757e-05
6,637 Causal Feature Selection for Algorithmic Fairness 2022 SIGMOD 5.8170154e-05
6,709 Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification 2022 SIGMOD 5.7964916e-05
6,824 Fairly Evaluating and Scoring Items in a Data Set 2020 VLDB 5.7623529e-05
6,854 iFlipper: Label Flipping for Individual Fairness 2023 SIGMOD 5.753578e-05
6,929 Mining Approximate Acyclic Schemes from Relations 2020 SIGMOD 5.7369354e-05
7,068 DataPrism: Exposing Disconnect between Data and Systems 2022 SIGMOD 5.7119157e-05
7,269 A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations 2023 SIGMOD 5.6595955e-05
7,358 PreFair: Privately Generating Justifiably Fair Synthetic Data 2023 VLDB 5.6344213e-05
7,367 Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes 2021 SIGMOD 5.6319194e-05
7,838 Consistent Range Approximation for Fair Predictive Modeling 2023 VLDB 5.5343411e-05
8,043 Falcon: Fair Active Learning using Multi-armed Bandits 2024 VLDB 5.5013766e-05
8,103 The Computation of Optimal Subset Repairs 2020 VLDB 5.4867244e-05
8,598 Is Integer Linear Programming All You Need for Deletion Propagation? A Unified and Practical Approach for Generalized Deletion Propagation 2025 VLDB 5.4049137e-05
8,838 The Cost of Representation by Subset Repairs 2025 VLDB 5.3592132e-05
9,055 Causal DAG Summarization 2025 VLDB 5.3251649e-05
9,388 Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities 2024 VLDB 5.2755515e-05
9,773 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 5.2209769e-05
9,848 Maximizing Fair Content Spread via Edge Suggestion in Social Networks 2022 VLDB 5.2094004e-05
10,238 Fair-Count-Min: Frequency Estimation under Equal Group-wise Approximation Factor 2026 SIGMOD 5.093636e-05
10,239 Fair Data Pre-Processing with Imperfect Attribute Space 2026 SIGMOD 5.093636e-05
10,391 Privacy-preserving and Verifiable Causal Prescriptive Analytics 2026 SIGMOD 5.093636e-05
10,429 Analyzing Deviations from Monotonic Trends through Database Repair 2026 SIGMOD 5.093636e-05
10,502 Stress-Testing Causal Claims via Cardinality Repairs 2026 SIGMOD 5.093636e-05
10,511 On Fair Epsilon Net and Geometric Hitting Set 2026 VLDB 5.093636e-05
10,708 CausaLens: A System for Summarizing Causal DAGs 2025 SIGMOD 5.093636e-05
11,174 FairHash: A Fair and Memory/Time-efficient Hashmap 2024 SIGMOD 5.093636e-05
11,396 Prerequisite-driven Fair Clustering on Heterogeneous Information Networks 2023 SIGMOD 5.093636e-05
11,674 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,399 Computing Optimal Repairs for Functional Dependencies 2018 PODS 0.00010893312
2,546 Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query) 2018 SIGMOD 8.4340413e-05
Previous Page 1 / 1 Next

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