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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
5713
Venue
SIGMOD
Year
2019
Pagerank
0.00014482047
Overall Rank
1,041 | 92.76%
DOI
10.1145/3299869.3319901

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 37 of 37 citing papers.

Rank Citing Paper Year Venue Pagerank
1,404 Responsible Data Management 2020 VLDB 0.00012174977
1,867 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 0.00010272055
2,753 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.1724339e-05
2,923 Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals 2021 SIGMOD 7.8953538e-05
3,299 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 7.2546659e-05
4,769 Automated Feature Engineering for Algorithmic Fairness 2021 VLDB 5.934329e-05
4,872 Explainable AI: Foundations, Applications, Opportunities for Data Management Research 2022 SIGMOD 5.8609352e-05
4,935 OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning 2021 SIGMOD 5.8198727e-05
5,409 Operationalizing Individual Fairness with Pairwise Fair Representations 2020 VLDB 5.5236357e-05
5,976 Responsible Data Integration: Next-generation Challenges 2022 SIGMOD 5.245976e-05
6,892 Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes 2021 SIGMOD 4.8925683e-05
6,944 DataPrism: Exposing Disconnect between Data and Systems 2022 SIGMOD 4.8912787e-05
7,022 A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations 2023 SIGMOD 4.8576599e-05
7,046 Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification 2022 SIGMOD 4.8525913e-05
7,076 Mining Approximate Acyclic Schemes from Relations 2020 SIGMOD 4.8426354e-05
7,449 OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport 2024 SIGMOD 4.7269357e-05
7,602 Causal Feature Selection for Algorithmic Fairness 2022 SIGMOD 4.6988081e-05
7,605 The Computation of Optimal Subset Repairs 2020 VLDB 4.697534e-05
7,685 Fairly Evaluating and Scoring Items in a Data Set 2020 VLDB 4.6788921e-05
7,851 Consistent Range Approximation for Fair Predictive Modeling 2023 VLDB 4.6353072e-05
8,055 iFlipper: Label Flipping for Individual Fairness 2023 SIGMOD 4.5947404e-05
8,609 PreFair: Privately Generating Justifiably Fair Synthetic Data 2023 VLDB 4.4853979e-05
8,840 The Cost of Representation by Subset Repairs 2025 VLDB 4.4388652e-05
9,365 Falcon: Fair Active Learning using Multi-armed Bandits 2024 VLDB 4.3502315e-05
9,644 Fair and Actionable Causal Prescription Ruleset 2025 SIGMOD 4.3109001e-05
9,712 Maximizing Fair Content Spread via Edge Suggestion in Social Networks 2022 VLDB 4.299267e-05
10,101 Privacy-preserving and Verifiable Causal Prescriptive Analytics 2026 SIGMOD 4.1945683e-05
10,140 Analyzing Deviations from Monotonic Trends through Database Repair 2026 SIGMOD 4.1945683e-05
10,213 Stress-Testing Causal Claims via Cardinality Repairs 2026 SIGMOD 4.1945683e-05
10,223 On Fair Epsilon Net and Geometric Hitting Set 2026 VLDB 4.1945683e-05
10,427 CausaLens: A System for Summarizing Causal DAGs 2025 SIGMOD 4.1945683e-05
10,581 Causal DAG Summarization 2025 VLDB 4.1945683e-05
10,631 Is Integer Linear Programming All You Need for Deletion Propagation? 2025 VLDB 4.1945683e-05
10,960 FairHash: A Fair and Memory/Time-efficient Hashmap 2024 SIGMOD 4.1945683e-05
11,068 Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities 2024 VLDB 4.1945683e-05
11,193 Prerequisite-driven Fair Clustering on Heterogeneous Information Networks 2023 SIGMOD 4.1945683e-05
11,476 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 4.1945683e-05
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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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