Causal Feature Selection for Algorithmic Fairness

Summary: Causal feature selection for fairness in data integration under a causal fairness framework, no predefined SCM required. Uses conditional independence tests over feature subsets, accelerated by group testing, with formal correctness and real-data evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6423
Venue: SIGMOD
Year: 2022
Pagerank: 5.8170154e-05
Overall Rank: 6,637 | 54.47%
DOI: 10.1145/3514221.3517909

Incoming Non-self Citations Over Time

Authors

1. Sainyam Galhotra (University of Chicago)
2. Karthikeyan Shanmugam (IBM)
3. Prasanna Sattigeri (IBM)
4. Kush R. Varshney (IBM)

BibTeX Citation

@inproceedings{galhotra_sigmod22,
        title = {{Causal Feature Selection for Algorithmic Fairness}},
        author = {Galhotra, Sainyam and Shanmugam, Karthikeyan and Sattigeri, Prasanna and Varshney, Kush R.},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517909},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517909},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,838	Consistent Range Approximation for Fair Predictive Modeling	2023	VLDB	5.5343411e-05
9,473	FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data	2023	SIGMOD	5.2634238e-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
10,239	Fair Data Pre-Processing with Imperfect Attribute Space	2026	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
640	Materialization Optimizations for Feature Selection Workloads	2014	SIGMOD	0.00015409494
764	To Join or Not to Join? Thinking Twice about Joins before Feature Selection	2016	SIGMOD	0.00014226652
863	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00013531835
2,216	Open Data Integration	2018	VLDB	8.9374127e-05
3,905	Automated Feature Engineering for Algorithmic Fairness	2021	VLDB	7.029145e-05
7,403	Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System	2013	VLDB	5.6249895e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	7,507	Models and Mechanisms for Spatial Data Fairness	2023	VLDB
2	7,838	Consistent Range Approximation for Fair Predictive Modeling	2023	VLDB
3	11,674	Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study	2021	SIGMOD
4	1,951	Interpretable Data-Based Explanations for Fairness Debugging	2022	SIGMOD
5	10,239	Fair Data Pre-Processing with Imperfect Attribute Space	2026	SIGMOD
6	4,658	OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning	2021	SIGMOD
7	6,709	Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification	2022	SIGMOD
8	9,773	Fair and Actionable Causal Prescription Ruleset	2025	SIGMOD
9	863	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD
10	3,905	Automated Feature Engineering for Algorithmic Fairness	2021	VLDB