2 papers
stat.ME2025
A semi-supervised framework for diverse multiple hypothesis testing scenarios
Jack Freestone, William Stafford Noble, Uri Keich
Standard multiple testing procedures are designed to report a list of discoveries, or suspected false null hypotheses, given the hypotheses' p-values or test scores. Recently there…
cs.LG2025
Error-controlled non-additive interaction discovery in machine learning models
Winston Chen, Yifan Jiang, William Stafford Noble +1
Machine learning (ML) models are powerful tools for detecting complex patterns within data, yet their "black box" nature limits their interpretability, hindering their use in criti…