mlsanityData to 7 Oct 2026

Alternative Methods to SHAP Derived from Properties of Kernels: A Note on Theoretical Analysis

arXiv 2406.00371 ↗First posted 1 Jun 2024cs.LGcited by 1

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Abstract (arXiv)

This study first derives a general and analytical expression of AFA (Additive Feature Attribution) in terms of the kernel in LIME (Local Interpretable Model-agnostic Explanations). Then, we propose some new AFAs that have appropriate properties of kernels or that coincide with the LS prenucleolus in cooperative game theory. We also revisit existing AFAs such as SHAP (SHapley Additive exPlanations) and re-examine the properties of their kernels.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 4 of its 11 references that are in the map. First posted on arXiv 1 Jun 2024.

Builds on

4 of 11 references.

References · 4

  1. 2017A Unified Approach to Interpreting Model Predictionscited by 6,488
  2. 2016"Why Should I Trust You?": Explaining the Predictions of Any Classifiercited by 5,040
  3. 2021FastSHAP: Real-Time Shapley Value Estimationcited by 123
  4. 2021Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospitalcited by 17

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026A Polynomial-Time Axiomatic Alternative to SHAP for Feature Attributioncited by 0