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Interpretability is Harder in the Multiclass Setting: Axiomatic Interpretability for Multiclass Additive Models

Oct 22, 2018
Xuezhou Zhang, Sarah Tan, Paul Koch, Yin Lou, Urszula Chajewska, Rich Caruana

* Preprint 

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Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation

Oct 11, 2018
Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou

* Camera-ready version for AAAI/ACM AIES 2018. Data and pseudocode at https://github.com/shftan/auditblackbox. Previously titled "Detecting Bias in Black-Box Models Using Transparent Model Distillation". A short version was presented at NIPS 2017 Symposium on Interpretable Machine Learning 

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Sparse Partially Linear Additive Models

Mar 27, 2018
Yin Lou, Jacob Bien, Rich Caruana, Johannes Gehrke

* Corrected typos 

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