Fair Data Pre-Processing with Imperfect Attribute Space
Summary: LatentPre addresses fair preprocessing when decision-relevant attributes are missing or unusable by augmenting policies with identifiable latent attributes. An EM-based estimator learns these signals and refines data to remove bias while preserving legitimate causal pathways and utility. (summarized by gpt-5.6-luna on Jul 26 2026)
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Authors
- 1. Ying Zheng (National University of Singapore)
- 2. Yangfan Jiang (National University of Singapore)
- 3. Kian-Lee Tan (National University of Singapore)
BibTeX Citation
@inproceedings{zheng_sigmod26,
title = {{Fair Data Pre-Processing with Imperfect Attribute Space}},
author = {Zheng, Ying and Jiang, Yangfan and Tan, Kian-Lee},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802057},
url = {https://dl.acm.org/doi/10.1145/3802057},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 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 |
| 1,951 | Interpretable Data-Based Explanations for Fairness Debugging | 2022 | SIGMOD | 9.4252389e-05 |
| 3,905 | Automated Feature Engineering for Algorithmic Fairness | 2021 | VLDB | 7.029145e-05 |
| 6,352 | OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport | 2024 | SIGMOD | 5.9042757e-05 |
| 6,637 | Causal Feature Selection for Algorithmic Fairness | 2022 | SIGMOD | 5.8170154e-05 |
| 6,854 | iFlipper: Label Flipping for Individual Fairness | 2023 | SIGMOD | 5.753578e-05 |
| 7,358 | PreFair: Privately Generating Justifiably Fair Synthetic Data | 2023 | VLDB | 5.6344213e-05 |
| 8,043 | Falcon: Fair Active Learning using Multi-armed Bandits | 2024 | VLDB | 5.5013766e-05 |
| 9,055 | Causal DAG Summarization | 2025 | VLDB | 5.3251649e-05 |
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