Zoom Motivated by problems in homeless services delivery, suicide prevention, and substance use prevention, we consider the problem of learning optimal interpretable, robust, and fair models in the form of decision-trees to assist with decision-making in socially sensitive, high-stakes settings. We propose new models and algorithms, showcase their flexibility, and theoretical and practical benefits, and...