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Thomas Gerspacher

2 accepted papers

2021

Explanations for Monotonic Classifiers.

ICML 2021spotlight

In many classification tasks there is a requirement of monotonicity. Concretely, if all else remains constant, increasing (resp. decreasing) the value of one or more features must not decrease (resp. increase) the value of the prediction. Despite comprehensive efforts on learning monotonic classifie…

Cited by 73SourcePDFScholar
2020

Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay

NeurIPS 2020spotlight

Recent work proposed the computation of so-called PI-explanations of Naive Bayes Classifiers (NBCs). PI-explanations are subset-minimal sets of feature-value pairs that are sufficient for the prediction, and have been computed with state-of-the-art exact algorithms that are worst-case exponential in…