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20052026
most citedAll Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously

1.2k citations · 5k across the 152 of their papers we have counts for

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Showing 2015 · cs.LGShow all

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cs.LG2015★ 1 cited

CRAFT: ClusteR-specific Assorted Feature selecTion

Vikas K. Garg, Cynthia Rudin, Tommi Jaakkola

We present a framework for clustering with cluster-specific feature selection. The framework, CRAFT, is derived from asymptotic log posterior formulations of nonparametric MAP-base…

cs.LG2015★ 27 cited

Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems

Tong Wang, Cynthia Rudin, Finale Doshi-Velez +3

We present a machine learning algorithm for building classifiers that are comprised of a small number of disjunctions of conjunctions (or's of and's). An example of a classifier of…