Reference
Problems with Shapley-value-based explanations as feature importance measures, I. Elizabeth Kumar, Suresh Venkatasubramanian, Carlos Scheidegger, Sorelle Friedler. International Conference on Machine Learning(2020)

Abstract

Game-theoretic formulations of feature importance have become popular as a way to

Content citing this item

Seminar

Shapley values for XAI: the good, the bad and the ugly

In this talk Anes will ask questions like: What is the true significance of Shapley values as feature importance measures? How can Shapley …

Anes Benmerzoug
Explainable AI
Training

Methods and issues in explainable AI

A two-day workshop for ML practitioners wishing to make their models better understandable for themselves and decision makers.

Series

Explainable AI

Large opaque models like neural networks require dedicated methods to study and interpret their behavior. In this series we review recent …

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