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stat.ML2026
Null importance: Disentangling relevance for interpretable machine learning
Garvesh Raskutti, Kris Sankaran, Jiaxin Ye
Feature importance is central to interpretable machine learning, but the term "importance" encompasses several fundamentally different notions of relevance. We develop a unified pe…
stat.ML2024★ 1 cited
Data Science Principles for Interpretable and Explainable AI
Kris Sankaran
Society's capacity for algorithmic problem-solving has never been greater. Artificial Intelligence is now applied across more domains than ever, a consequence of powerful abstracti…