P-Shapley: Shapley Values on Probabilistic Classifiers
Summary: Introduces P-Shapley, a Shapley-value formulation for classification that uses model-predicted probabilities (with convex calibration functions) as utility instead of binary accuracy. Theoretically and empirically yields more stable, more discriminative data valuations. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haocheng Xia (Zhejiang University)
- 2. Xiang Li (Zhejiang University)
- 3. Junyuan Pang (Zhejiang University)
- 4. Jinfei Liu (Zhejiang University; Zhejiang University-Hangzhou Global Scientific and Technological Innovation Center)
- 5. Kui Ren (Zhejiang University)
- 6. Li Xiong (Emory University)
BibTeX Citation
@article{xia_vldb24,
title = {{P-Shapley: Shapley Values on Probabilistic Classifiers}},
author = {Xia, Haocheng and Li, Xiang and Pang, Junyuan and Liu, Jinfei and Ren, Kui and Xiong, Li},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {7},
pages = {1737--1750},
doi = {10.14778/3654621.3654638},
url = {https://doi.org/10.14778/3654621.3654638},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,541 | Shapley Value Estimation Based on Differential Matrix | 2025 | SIGMOD | 5.2528121e-05 |
| 10,198 | ASSS: Adaptive Stratified Sampling for Shapley-like Values | 2026 | SIGMOD | 5.093636e-05 |
| 10,906 | A Comprehensive Study of Shapley Value in Data Analytics | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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