2 papers
stat.ME2025
Semiparametric Learning from Open-Set Label Shift Data
Siyan Liu, Yukun Liu, Qinglong Tian +2
We study the open-set label shift problem, where the test data may include a novel class absent from training. This setting is challenging because both the class proportions and th…
stat.ME2025
Revamping Conformal Selection With Optimal Power: A Neyman--Pearson Perspective
Jing Qin, Yukun Liu, Moming Li +1
This paper introduces a novel conformal selection procedure, inspired by the Neyman--Pearson paradigm, to maximize the power of selecting qualified units while maintaining false di…