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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)

Paper ID
6551
Venue
SIGMOD
Year
2023
Pagerank
4.746272e-05
Overall Rank
7,380 | 48.66%
DOI
10.1145/3588728

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