Provably Accurate Shapley Value Estimation via Leverage Score Sampling
Factual evidence
What the source reports
Researchers introduced a leverage score sampling method to improve the speed and accuracy of Kernel SHAP feature attribution in ML models.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 12 October 2026
- Collected by OneBench
- 13 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2410.01917v3 Announce Type: replace Abstract: Originally introduced in game theory, Shapley values have emerged as a central tool in explainable machine learning, where they are…
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OneBench interpretation
Institutional assessment
So what
Faster, provably accurate Shapley value estimation reduces the computational cost of audit-required model explainability in credit and risk scoring.
Do what
Review the sampling methodology with model risk management teams evaluating high-dimensional feature attribution tools.