Consistent Range Approximation for Fair Predictive Modeling
Summary: Frames fairness certification as consistent range approximation (CRA) of fairness queries, leveraging query-answering methods for incomplete/inconsistent databases plus explicit data-collection bias models. CRA derives provable target-population ranges from biased data (optionally using limited population stats) to train models certifiably fair without external data, empirically improving over prior methods. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiongli Zhu (University of California San Diego)
- 2. Sainyam Galhotra (Cornell University)
- 3. Nazanin Sabri (University of California San Diego)
- 4. Babak Salimi (University of California San Diego)
BibTeX Citation
@article{zhu_vldb23,
title = {{Consistent Range Approximation for Fair Predictive Modeling}},
author = {Zhu, Jiongli and Galhotra, Sainyam and Sabri, Nazanin and Salimi, Babak},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {11},
pages = {2925--2938},
doi = {10.14778/3611479.3611498},
url = {https://doi.org/10.14778/3611479.3611498},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,055 | Causal DAG Summarization | 2025 | VLDB | 5.3251649e-05 |
| 10,018 | From Logs to Causal Inference: Diagnosing Large Systems | 2025 | VLDB | 5.1757914e-05 |
| 10,080 | Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search | 2024 | VLDB | 5.158939e-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 |
| 10,638 | A Theoretical Framework for Distribution-Aware Dataset Search | 2025 | PODS | 5.093636e-05 |
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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 |
| 3,091 | MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness | 2020 | SIGMOD | 7.7684166e-05 |
| 4,205 | Sample Debiasing in the Themis Open World Database System | 2020 | SIGMOD | 6.8337021e-05 |
| 4,658 | OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning | 2021 | SIGMOD | 6.5817368e-05 |
| 6,262 | Mosaic: A Sample-Based Database System for Open World Query Processing | 2020 | CIDR | 5.9361728e-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 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,658 | OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning | 2021 | SIGMOD |
| 2 | 7,507 | Models and Mechanisms for Spatial Data Fairness | 2023 | VLDB |
| 3 | 9,353 | On Efficient Approximate Queries over Machine Learning Models | 2023 | VLDB |
| 4 | 1,597 | Designing Fair Ranking Schemes | 2019 | SIGMOD |
| 5 | 6,709 | Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification | 2022 | SIGMOD |
| 6 | 5,334 | Operationalizing Individual Fairness with Pairwise Fair Representations | 2020 | VLDB |
| 7 | 9,773 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD |
| 8 | 10,239 | Fair Data Pre-Processing with Imperfect Attribute Space | 2026 | SIGMOD |
| 9 | 6,637 | Causal Feature Selection for Algorithmic Fairness | 2022 | SIGMOD |
| 10 | 863 | Interventional Fairness : Causal Database Repair for Algorithmic Fairness | 2019 | SIGMOD |