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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)
- Paper ID
- 13413
- Venue
- VLDB
- Year
- 2024
- Pagerank
- 5.5419908e-05
- Overall Rank
- 8,116 | 43.60%
- DOI
-
10.14778/3654621.3654638
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
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.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 1,124 |
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms |
2019 |
VLDB |
0.00012165727 |
| 1,483 |
Towards Model-based Pricing for Machine Learning in a Data Marketplace |
2019 |
SIGMOD |
0.00010694952 |
| 2,512 |
Computing the Shapley Value of Facts in Query Answering |
2022 |
SIGMOD |
8.5541566e-05 |
| 2,742 |
The Impact of Negation on the Complexity of the Shapley Value in Conjunctive Queries |
2020 |
PODS |
8.2414298e-05 |
| 3,227 |
Data Acquisition for Improving Machine Learning Models |
2021 |
VLDB |
7.6921982e-05 |
| 3,724 |
Dealer: An End-to-End Model Marketplace with Differential Privacy |
2021 |
VLDB |
7.2364245e-05 |
| 3,815 |
Protecting Data Markets from Strategic Buyers |
2022 |
SIGMOD |
7.1586065e-05 |
| 4,491 |
How to Price Shared Optimizations in the Cloud |
2012 |
VLDB |
6.7298372e-05 |
| 6,082 |
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets |
2023 |
VLDB |
6.0457731e-05 |
| 6,271 |
Differentially Private Vertical Federated Clustering |
2023 |
VLDB |
5.9957063e-05 |
| 6,984 |
Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration |
2023 |
VLDB |
5.7913803e-05 |
| 7,081 |
Efficient Sampling Approaches to Shapley Value Approximation |
2023 |
SIGMOD |
5.7612572e-05 |
| 7,258 |
ExplainED: Explanations for EDA Notebooks |
2020 |
VLDB |
5.7155992e-05 |
| 8,005 |
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy |
2021 |
VLDB |
5.5658053e-05 |
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| Overall Rank |
Paper |
Year |
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| 6,081 |
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- |
| 1,124 |
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms |
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0.00012165727 |
| 6,527 |
On Shapley Value in Data Assemblage Under Independent Utility |
2022 |
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5.9088368e-05 |
| 7,081 |
Efficient Sampling Approaches to Shapley Value Approximation |
2023 |
SIGMOD |
5.7612572e-05 |