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Interpretable Personalized Experimentation.

, , , , , , , , , и . KDD, стр. 4173-4183. ACM, (2022)

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Nabil Sarah

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Другие публикации лиц с тем же именем

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