Relative Keys: Putting Feature Explanation into Context
Summary: Relative keys offer context-aware explanations with bounded conformity, merging formal guarantees with fast, model-agnostic reasoning. CCE computes them without model access; finding most succinct relative keys is NP-complete; batch/online algorithms yield two orders of magnitude speedups on 9 datasets with 7 explainers. (summarized by gpt-5-nano on Feb 09 2026)
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BibTeX Citation
@inproceedings{an_sigmod24,
title = {{Relative Keys: Putting Feature Explanation into Context}},
author = {An, Shuai and Cao, Yang},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3639263},
url = {https://dl.acm.org/doi/10.1145/3639263},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,515 | Counterfactual Explanation at Will, with Zero Privacy Leakage | 2024 | SIGMOD | 4.9793485e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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