A Experiment Details

We train our models with the ADAM optimizer using a learning rate of 0.002. A.2 Data Processing We use the following features for training our models. Our approach allows for customization of actionable features and constraints on their values. We require that education level can only increase. The actionable features are: (i) education level and (ii) the number of prison rule violations reported during the sample sentence.