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Shapley Value Estimation Based on Differential Matrix
Summary: Introduces a differential-matrix framework for Shapley-value estimation: learn Shapley differences and recover values via LS. Also MC-estimates the differential matrix with two stratified MC variants for variance reduction, yielding efficient, accurate Shapley values.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7068
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,403 | 27.70%
- DOI
-
10.1145/3709725
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Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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2019 |
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| 1,891 |
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0.0001018452 |
| 2,876 |
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7.9739469e-05 |
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The Impact of Negation on the Complexity of the Shapley Value in Conjunctive Queries |
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From Shapley Value to Model Counting and Back |
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6.056109e-05 |
| 4,723 |
Secure Shapley Value for Cross-Silo Federated Learning |
2023 |
VLDB |
5.9644411e-05 |
| 4,875 |
Explainable AI: Foundations, Applications, Opportunities for Data Management Research |
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5.8552996e-05 |
| 5,960 |
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2024 |
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5.251188e-05 |
| 6,058 |
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5.2274142e-05 |
| 6,262 |
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SIGMOD |
5.1300221e-05 |
| 6,263 |
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2023 |
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5.1300221e-05 |
| 6,424 |
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4.9443317e-05 |
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4.6089395e-05 |
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4.5906619e-05 |
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4.4686462e-05 |
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