Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It. - Harsh Parikh; Kentaro Hoffman; Haoqi Sun; Wendong Ge; Jin Jing; Rajesh Amerineni; Lin Liu; Jimeng Sun 001; Sahar Zafar; Aaron Struck; Alexander Volfovsky; Cynthia Rudin; et al. (CoRR, 2022)

Borrowing from Your Neighbors: three Statistical Techniques from Nontraditional Sources. - Kentaro Hoffman (2022)

Local Change Point Detection and Cleaning of EEMD Signals. - Kentaro Hoffman; Jonathan Lees; Kai Zhang (Circuits Syst. Signal Process., 2023)

Do We Really Even Need Data? - Kentaro Hoffman; Stephen Salerno; Awan Afiaz; Jeffrey T. Leek; Tyler H. McCormick (CoRR, 2024)

From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives. - Shuxian Fan; Adam Visokay; Kentaro Hoffman; Stephen Salerno; Li Liu; Jeffrey T. Leek; Tyler H. McCormick (CoRR, 2024)

Unique Rashomon Sets for Robust Active Learning. - Simon Nguyen; Kentaro Hoffman; Tyler H. McCormick (CoRR, 2025)