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Rich Caruana

Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere

Mar 15, 2020
Jonathan A. Weyn, Dale R. Durran, Rich Caruana

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* Manuscript submitted to Journal of Advances in Modeling Earth Systems

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InterpretML: A Unified Framework for Machine Learning Interpretability

Sep 19, 2019
Harsha Nori, Samuel Jenkins, Paul Koch, Rich Caruana

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Efficient Forward Architecture Search

May 31, 2019
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey

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* 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

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* 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

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* Corrected typos

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Transparent Model Distillation

Jan 26, 2018
Sarah Tan, Rich Caruana, Giles Hooker, Albert Gordo

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Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning

Dec 12, 2017
Andrew Gordon Wilson, Jason Yosinski, Patrice Simard, Rich Caruana, William Herlands

* 25 papers

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