Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Karl Kumbier

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{https://github.com/Yu-Group/covid19-severity-prediction

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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


Jan 23, 2019
Bin Yu, Karl Kumbier


  Access Paper or Ask Questions

Interpretable machine learning: definitions, methods, and applications


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

* 11 pages 

  Access Paper or Ask Questions

Refining interaction search through signed iterative Random Forests


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


  Access Paper or Ask Questions

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


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


  Access Paper or Ask Questions

Artificial Intelligence and Statistics


Dec 08, 2017
Bin Yu, Karl Kumbier


  Access Paper or Ask Questions