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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
- 4.6089395e-05
- Overall Rank
- 7,935 | 44.86%
- 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 |
| 1,293 |
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms |
2019 |
VLDB |
0.00012749902 |
| 1,891 |
Towards Model-based Pricing for Machine Learning in a Data Marketplace |
2019 |
SIGMOD |
0.0001018452 |
| 2,876 |
Computing the Shapley Value of Facts in Query Answering |
2022 |
SIGMOD |
7.9739469e-05 |
| 3,030 |
The Impact of Negation on the Complexity of the Shapley Value in Conjunctive Queries |
2020 |
PODS |
7.676832e-05 |
| 3,754 |
Data Acquisition for Improving Machine Learning Models |
2021 |
VLDB |
6.7830341e-05 |
| 3,836 |
Dealer: An End-to-End Model Marketplace with Differential Privacy |
2021 |
VLDB |
6.7127853e-05 |
| 4,140 |
Protecting Data Markets from Strategic Buyers |
2022 |
SIGMOD |
6.4114048e-05 |
| 4,477 |
How to Price Shared Optimizations in the Cloud |
2012 |
VLDB |
6.1453536e-05 |
| 6,263 |
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets |
2023 |
VLDB |
5.1300221e-05 |
| 6,615 |
Differentially Private Vertical Federated Clustering |
2023 |
VLDB |
4.9882647e-05 |
| 7,227 |
Data and AI Model Markets: Opportunities for Data and Model Sharing, Discovery, and Integration |
2023 |
VLDB |
4.7906919e-05 |
| 7,360 |
ExplainED: Explanations for EDA Notebooks |
2020 |
VLDB |
4.7473724e-05 |
| 7,380 |
Efficient Sampling Approaches to Shapley Value Approximation |
2023 |
SIGMOD |
4.7417195e-05 |
| 8,055 |
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy |
2021 |
VLDB |
4.5906619e-05 |
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| Overall Rank |
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- |
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| 6,728 |
On Shapley Value in Data Assemblage Under Independent Utility |
2022 |
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4.9443317e-05 |
| 7,380 |
Efficient Sampling Approaches to Shapley Value Approximation |
2023 |
SIGMOD |
4.7417195e-05 |