Karl Kumbier

According to our database, Karl Kumbier authored at least 7 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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

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

CoRR, 2020

2019

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

Bin Yu, Karl Kumbier

CoRR, 2019

Interpretable machine learning: definitions, methods, and applications.

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

CoRR, 2019

A Debiased MDI Feature Importance Measure for Random Forests.

Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Artificial intelligence and statistics.

Bin Yu, Karl Kumbier

Frontiers Inf. Technol. Electron. Eng., 2018

iRF: extracting interactions from random forests.

Sumanta Basu, Karl Kumbier, James B. Brown, Bin Yu

J. Open Source Softw., 2018

Refining interaction search through signed iterative Random Forests.

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

CoRR, 2018