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20212026
most citedOn the Relationship Between Interpretability and Explainability in Machine Learning

2 citations · 3 across the 7 of their papers we have counts for

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cs.LG2025

A Framework for Bounding Deterministic Risk with PAC-Bayes: Applications to Majority Votes

Benjamin Leblanc, Pascal Germain

PAC-Bayes is a popular and efficient framework for obtaining generalization guarantees in situations involving uncountable hypothesis spaces. Unfortunately, in its classical formul…