Operationalizing Individual Fairness with Pairwise Fair Representations
Summary: Replaces hand-specified similarity metrics for individual fairness with fairness graphs encoding equally deserving pairs. Learns Pairwise Fair Representations that combine data-driven similarity and social-group fairness judgments, validated on COMPAS and neighborhood-violence prediction. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Preethi Lahoti (Max Planck Institute)
- 2. Krishna P. Gummadi (Max Planck Institute)
- 3. Gerhard Weikum (Max Planck Institute)
BibTeX Citation
@article{lahoti_vldb20,
title = {{Operationalizing Individual Fairness with Pairwise Fair Representations}},
author = {Lahoti, Preethi and Gummadi, Krishna P. and Weikum, Gerhard},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {4},
pages = {506--518},
doi = {10.14778/3372716.3372723},
url = {https://doi.org/10.14778/3372716.3372723},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,709 | Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification | 2022 | SIGMOD | 5.7964916e-05 |
| 6,854 | iFlipper: Label Flipping for Individual Fairness | 2023 | SIGMOD | 5.753578e-05 |
| 8,043 | Falcon: Fair Active Learning using Multi-armed Bandits | 2024 | VLDB | 5.5013766e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 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 |
| 1,597 | Designing Fair Ranking Schemes | 2019 | SIGMOD | 0.00010246472 |
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