Efficient Sampling Approaches to Shapley Value Approximation
Summary: Treats Shapley value estimation as stratified sampling to accelerate Monte Carlo approximation for data-management tasks. Proposes a novel stratification design with Neyman and empirical Bernstein-based allocations, showing improved efficiency and accuracy on real and synthetic datasets. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jiayao Zhang (Zhejiang University)
- 2. Qiheng Sun (Zhejiang University)
- 3. Jinfei Liu (Zhejiang University; Zhejiang University Hangzhou Global Scientific and Technological Innovation Center)
- 4. Li Xiong (Emory University)
- 5. Jian Pei (Duke University)
- 6. Kui Ren (Zhejiang University)
BibTeX Citation
@inproceedings{zhang_sigmod23,
title = {{Efficient Sampling Approaches to Shapley Value Approximation}},
author = {Zhang, Jiayao and Sun, Qiheng and Liu, Jinfei and Xiong, Li and Pei, Jian and Ren, Kui},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588728},
url = {https://dl.acm.org/doi/10.1145/3588728},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 894 | Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | 2019 | VLDB | 0.00013212578 |
| 1,362 | Towards Model-based Pricing for Machine Learning in a Data Marketplace | 2019 | SIGMOD | 0.0001091784 |
| 2,217 | Computing the Shapley Value of Facts in Query Answering | 2022 | SIGMOD | 8.8172185e-05 |
| 3,729 | Protecting Data Markets from Strategic Buyers | 2022 | SIGMOD | 7.069419e-05 |
| 3,780 | Dealer: An End-to-End Model Marketplace with Differential Privacy | 2021 | VLDB | 7.0249464e-05 |
| 6,086 | Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace | 2019 | SIGMOD | 5.8912658e-05 |
| 8,305 | Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy | 2021 | VLDB | 5.3587625e-05 |
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