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Curating a COVID-19 data repository and forecasting county-level death counts in the United States

May 16, 2020
Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Bin Yu

* 25 pages, 8 Figures, Authors ordered alphabetically. All authors contributed significantly to this work. All collected data, modeling code, forecasts, and visualizations are updated daily and available at \url{

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A Debiased MDI Feature Importance Measure for Random Forests

Jun 26, 2019
Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu

* The first two authors contributed equally to this paper 

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Three principles of data science: predictability, computability, and stability (PCS)

Jan 23, 2019
Bin Yu, Karl Kumbier

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Interpretable machine learning: definitions, methods, and applications

Jan 14, 2019
W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, Bin Yu

* 11 pages 

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Refining interaction search through signed iterative Random Forests

Oct 16, 2018
Karl Kumbier, Sumanta Basu, James B. Brown, Susan Celniker, Bin Yu

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Iterative Random Forests to detect predictive and stable high-order interactions

Dec 23, 2017
Sumanta Basu, Karl Kumbier, James B. Brown, Bin Yu

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Artificial Intelligence and Statistics

Dec 08, 2017
Bin Yu, Karl Kumbier

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