Automated Feature Engineering for Algorithmic Fairness

Summary: Automated feature engineering via multi-objective optimization to jointly maximize accuracy and fairness in ML models. Vertical fairness via feature construction avoids data tampering, delivering higher accuracy and comparable or better fairness than Capuchin on three datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12543
Venue: VLDB
Year: 2021
Pagerank: 7.029145e-05
Overall Rank: 3,905 | 73.21%
DOI: 10.14778/3461535.3463474

Incoming Non-self Citations Over Time

Authors

1. Ricardo Salazar (Technical University of Berlin)
2. Felix Neutatz (Technical University of Berlin)
3. Ziawasch Abedjan (L3S Research Center; Leibniz University Hanover)

BibTeX Citation

@article{salazar_vldb21,
        title = {{Automated Feature Engineering for Algorithmic Fairness}},
        author = {Salazar, Ricardo and Neutatz, Felix and Abedjan, Ziawasch},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {9},
        pages = {1694--1702},
        doi = {10.14778/3461535.3463474},
        url = {https://doi.org/10.14778/3461535.3463474},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,538	UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads	2022	VLDB	5.8477764e-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
7,232	Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications	2023	SIGMOD	5.6659017e-05
8,838	The Cost of Representation by Subset Repairs	2025	VLDB	5.3592132e-05
9,473	FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data	2023	SIGMOD	5.2634238e-05
10,239	Fair Data Pre-Processing with Imperfect Attribute Space	2026	SIGMOD	5.093636e-05
10,589	Morphing-based Compression for Data-centric ML Pipelines	2026	VLDB	5.093636e-05
10,757	Data Enhancement for Binary Classification of Relational Data	2025	SIGMOD	5.093636e-05
10,882	CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines	2025	VLDB	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
863	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00013531835
1,340	Responsible Data Management	2020	VLDB	0.00011111667
1,597	Designing Fair Ranking Schemes	2019	SIGMOD	0.00010246472
2,546	Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query)	2018	SIGMOD	8.4340413e-05
7,566	Panel: A Debate on Data and Algorithmic Ethics	2018	VLDB	5.5957178e-05
11,674	Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study	2021	SIGMOD	5.093636e-05
11,744	CAFE: Constraint-Aware Feature Extraction from Large Databases	2020	CIDR	5.093636e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	7,192	Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher	2022	SIGMOD
2	6,709	Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification	2022	SIGMOD
3	13,458	DENOUNCER: Detection of Unfairness in Classifiers	2021	VLDB
4	1,951	Interpretable Data-Based Explanations for Fairness Debugging	2022	SIGMOD
5	11,674	Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study	2021	SIGMOD
6	8,043	Falcon: Fair Active Learning using Multi-armed Bandits	2024	VLDB
7	10,239	Fair Data Pre-Processing with Imperfect Attribute Space	2026	SIGMOD
8	863	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD
9	4,658	OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning	2021	SIGMOD
10	6,637	Causal Feature Selection for Algorithmic Fairness	2022	SIGMOD