Karl Kumbier

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 9

Top Topics

Machine Learning

Feature Importance

Logistic Regression

Top Venues

Frontiers Inf. Technol. Electron. Eng.

J. Open Source Softw.

Publications

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
Curating a COVID-19 data repository and forecasting county-level death counts in the United States. CoRR (2020)
W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, Bin Yu
Interpretable machine learning: definitions, methods, and applications. CoRR (2019)
Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu
A Debiased MDI Feature Importance Measure for Random Forests. CoRR (2019)
Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu
A Debiased MDI Feature Importance Measure for Random Forests. NeurIPS (2019)
Bin Yu, Karl Kumbier
Three principles of data science: predictability, computability, and stability (PCS). CoRR (2019)
Karl Kumbier, Sumanta Basu, James B. Brown, Susan Celniker, Bin Yu
Refining interaction search through signed iterative Random Forests. CoRR (2018)
Bin Yu, Karl Kumbier
Artificial intelligence and statistics. Frontiers Inf. Technol. Electron. Eng. 19 (1) (2018)
Sumanta Basu, Karl Kumbier, James B. Brown, Bin Yu
iRF: extracting interactions from random forests. J. Open Source Softw. 3 (32) (2018)
Bin Yu, Karl Kumbier
Artificial Intelligence and Statistics. CoRR (2017)