The Price of Interpretability

8 Jul 2019Dimitris BertsimasArthur DelaruePatrick JailletSebastien Martin

When quantitative models are used to support decision-making on complex and important topics, understanding a model's ``reasoning'' can increase trust in its predictions, expose hidden biases, or reduce vulnerability to adversarial attacks. However, the concept of interpretability remains loosely defined and application-specific... (read more)

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