Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation
Summary: Exploits model-induced locality to project Shapley valuation onto each test point’s influential support, avoiding irrelevant coalitions. LSMR achieves optimal subset reuse, while LSMR-A provides unbiased Monte Carlo estimation whose cost depends on distinct subsets, not samples. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Xuan Yang (Duke University)
- 2. Hsi-Wen Chen (National Taiwan University)
- 3. Ming-Syan Chen (National Taiwan University)
- 4. Jian Pei (Duke University)
BibTeX Citation
@article{yang_vldb26,
title = {{Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation}},
author = {Yang, Xuan and Chen, Hsi-Wen and Chen, Ming-Syan and Pei, Jian},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {11},
pages = {3330--3343},
doi = {10.14778/3836663.3836692},
url = {https://doi.org/10.14778/3836663.3836692},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 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 |
| 1,845 | Data Market Platforms: Trading Data Assets to Solve Data Problems | 2020 | VLDB | 9.5136397e-05 |
| 3,780 | Dealer: An End-to-End Model Marketplace with Differential Privacy | 2021 | VLDB | 7.0249464e-05 |
| 5,428 | Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games | 2024 | SIGMOD | 6.1339984e-05 |
| 6,390 | On Shapley Value in Data Assemblage Under Independent Utility | 2022 | VLDB | 5.8010007e-05 |
| 6,553 | A Comprehensive Study of Shapley Value in Data Analytics | 2025 | VLDB | 5.7499619e-05 |
| 6,711 | Counterfactual Explanation of Shapley Value in Data Coalitions | 2024 | VLDB | 5.7012693e-05 |
| 9,723 | Shapley Value Estimation Based on Differential Matrix | 2025 | SIGMOD | 5.1349531e-05 |
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