Computing Rule-Based Explanations by Leveraging Counterfactuals
Summary: Proves a Duality Theorem linking rule-based and counterfactual explanations, enabling reduction of rule computation to counterfactual oracles. Builds an algorithm using existing fast counterfactual systems to produce higher-quality rule explanations with equal/ better performance than MinSetCover and Anchor. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zixuan Geng (University of Washington)
- 2. Maximilian Schleich (RelationalAI)
- 3. Dan Suciu (University of Washington)
BibTeX Citation
@article{geng_vldb23,
title = {{Computing Rule-Based Explanations by Leveraging Counterfactuals}},
author = {Geng, Zixuan and Schleich, Maximilian and Suciu, Dan},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {3},
pages = {420--432},
doi = {10.14778/3570690.3570693},
url = {https://doi.org/10.14778/3570690.3570693},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,157 | Relative Keys: Putting Feature Explanation into Context | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,571 | GeCo: Quality Counterfactual Explanations in Real Time | 2021 | VLDB | 6.625099e-05 |
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