Refining interaction search through signed iterative Random Forests. - Karl Kumbier; Sumanta Basu; James B. Brown; Susan Celniker; Bin Yu 001 (CoRR, 2018)

iRF: extracting interactions from random forests. - Sumanta Basu; Karl Kumbier; James B. Brown; Bin Yu 001 (J. Open Source Softw., 2018)

Artificial intelligence and statistics. - Bin Yu 001; Karl Kumbier (Frontiers Inf. Technol. Electron. Eng., 2018)

A Debiased MDI Feature Importance Measure for Random Forests. - Xiao Li; Yu Wang 075; Sumanta Basu; Karl Kumbier; Bin Yu 001 (NeurIPS, 2019)

Interpretable machine learning: definitions, methods, and applications. - W. James Murdoch; Chandan Singh; Karl Kumbier; Reza Abbasi-Asl; Bin Yu 001 (CoRR, 2019)

Three principles of data science: predictability, computability, and stability (PCS). - Bin Yu 001; Karl Kumbier (CoRR, 2019)

Curating a COVID-19 data repository and forecasting county-level death counts in the United States. - Nick Altieri 001; Rebecca L. Barter; James Duncan 002; Raaz Dwivedi; Karl Kumbier; Xiao Li; Robert Netzorg; Briton Park; Chandan Singh; Yan Shuo Tan; Tiffany M. Tang; Yu Wang 075; et al. (CoRR, 2020)