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Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values



Zijie J. Wang , Alex Kale , Harsha Nori , Peter Stella , Mark E. Nunnally , Duen Horng Chau , Mihaela Vorvoreanu , Jennifer Wortman Vaughan , Rich Caruana

* Accepted at KDD 2022. 11 pages, 19 figures. For a demo video, see https://youtu.be/D6whtfInqTc. For a live demo, visit https://interpret.ml/gam-changer 

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Differentially Private Estimation of Heterogeneous Causal Effects



Fengshi Niu , Harsha Nori , Brian Quistorff , Rich Caruana , Donald Ngwe , Aadharsh Kannan


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GAM Changer: Editing Generalized Additive Models with Interactive Visualization



Zijie J. Wang , Alex Kale , Harsha Nori , Peter Stella , Mark Nunnally , Duen Horng Chau , Mihaela Vorvoreanu , Jennifer Wortman Vaughan , Rich Caruana

* 7 pages, 15 figures, accepted to the Research2Clinics workshop at NeurIPS 2021. For a demo video, see https://youtu.be/2gVSoPoSeJ8. For a live demo, visit https://interpret.ml/gam-changer/ 

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Extracting Clinician's Goals by What-if Interpretable Modeling



Chun-Hao Chang , George Alexandru Adam , Rich Caruana , Anna Goldenberg

* Submitted to AISTATS 2022 

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Accuracy, Interpretability, and Differential Privacy via Explainable Boosting



Harsha Nori , Rich Caruana , Zhiqi Bu , Judy Hanwen Shen , Janardhan Kulkarni

* To be published in ICML 2021. 12 pages, 6 figures 

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NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning



Chun-Hao Chang , Rich Caruana , Anna Goldenberg


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Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models



Jonathan A. Weyn , Dale R. Durran , Rich Caruana , Nathaniel Cresswell-Clay

* Submitted to Journal of Advances in Modeling Earth Systems 

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On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks



Benjamin Lengerich , Eric P. Xing , Rich Caruana


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How Interpretable and Trustworthy are GAMs?



Chun-Hao Chang , Sarah Tan , Ben Lengerich , Anna Goldenberg , Rich Caruana


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Neural Additive Models: Interpretable Machine Learning with Neural Nets



Rishabh Agarwal , Nicholas Frosst , Xuezhou Zhang , Rich Caruana , Geoffrey E. Hinton


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