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 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,025 | Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search | 2024 | VLDB | 5.2346997e-05 |
| 9,231 | Causal DAG Summarization | 2025 | VLDB | 5.2056825e-05 |
| 10,207 | From Logs to Causal Inference: Diagnosing Large Systems | 2025 | VLDB | 5.0596605e-05 |
| 10,688 | Stress-Testing Causal Claims via Cardinality Repairs | 2026 | SIGMOD | 4.9793485e-05 |
| 10,696 | On Fair Epsilon Net and Geometric Hitting Set | 2026 | VLDB | 4.9793485e-05 |
| 10,811 | Unbiased Binning for Fairness-aware Attribute Representation | 2026 | VLDB | 4.9793485e-05 |
| 11,081 | A Theoretical Framework for Distribution-Aware Dataset Search | 2025 | PODS | 4.9793485e-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 |
|---|---|---|---|---|
| 803 | Interventional Fairness : Causal Database Repair for Algorithmic Fairness | 2019 | SIGMOD | 0.00013836858 |
| 3,129 | MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness | 2020 | SIGMOD | 7.6149779e-05 |
| 4,253 | Sample Debiasing in the Themis Open World Database System | 2020 | SIGMOD | 6.7015395e-05 |
| 4,719 | OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning | 2021 | SIGMOD | 6.4548076e-05 |
| 6,282 | Mosaic: A Sample-Based Database System for Open World Query Processing | 2020 | CIDR | 5.8237283e-05 |
| 6,771 | Causal Feature Selection for Algorithmic Fairness | 2022 | SIGMOD | 5.6864972e-05 |
| 6,845 | Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification | 2022 | SIGMOD | 5.6664339e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,653 | Models and Mechanisms for Spatial Data Fairness | 2023 | VLDB |
| 2 | 5,911 | On Efficient Approximate Queries over Machine Learning Models | 2023 | VLDB |
| 3 | 1,379 | Designing Fair Ranking Schemes | 2019 | SIGMOD |
| 4 | 6,845 | Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification | 2022 | SIGMOD |
| 5 | 5,407 | Operationalizing Individual Fairness with Pairwise Fair Representations | 2020 | VLDB |
| 6 | 9,949 | Fair and Actionable Causal Prescription Ruleset | 2025 | SIGMOD |
| 7 | 10,454 | Fair Data Pre-Processing with Imperfect Attribute Space | 2026 | SIGMOD |
| 8 | 10,795 | Measuring Database Unfairness via Dependency Quantification Under Differential Privacy | 2026 | VLDB |
| 9 | 6,771 | Causal Feature Selection for Algorithmic Fairness | 2022 | SIGMOD |
| 10 | 803 | Interventional Fairness : Causal Database Repair for Algorithmic Fairness | 2019 | SIGMOD |