Fast Shapley Value Computation in Data Assemblage Tasks as Cooperative Simple Games
Summary: Frames data assemblage tasks as cooperative simple games with binary utilities, computing Shapley values via pivotal probabilities. Uses minimal syntheses, inclusion–exclusion, and Boolean decomposition to DNF, bounding cost by participating owners. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xuan Luo
- 2. Jian Pei
- 3. Cheng Xu
- 4. Wenjie Zhang
- 5. Jianliang Xu
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,321 | Counterfactual Explanation of Shapley Value in Data Coalitions | 2024 | VLDB | 4.7629325e-05 |
| 8,665 | Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms | 2025 | VLDB | 4.471975e-05 |
| 10,392 | Shapley Value Estimation Based on Differential Matrix | 2025 | SIGMOD | 4.1945683e-05 |
| 10,524 | Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data | 2025 | SIGMOD | 4.1945683e-05 |
| 10,655 | A Comprehensive Study of Shapley Value in Data Analytics | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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