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Investigating Human + Machine Complementarity for Recidivism Predictions., , , and . CoRR, (2018)Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies., , , , , , , , , and . CoRR, (2021)Error Discovery by Clustering Influence Embeddings., , , , and . CoRR, (2023)Detecting Bias in Black-Box Models Using Transparent Model Distillation., , , and . CoRR, (2017)Practical Policy Optimization with Personalized Experimentation., , , , , , , , , and 2 other author(s). CoRR, (2023)Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models., , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2402-2412. PMLR, (2020)Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data., , , , , and . PKDD/ECML Workshops (1), volume 1524 of Communications in Computer and Information Science, page 534-551. Springer, (2021)Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism., , , , , and . CHI, page 1-13. ACM, (2020)Interpretable Personalized Experimentation., , , , , , , , , and . KDD, page 4173-4183. ACM, (2022)Interpretable Approaches to Detect Bias in Black-Box Models.. AIES, page 382-383. ACM, (2018)