2 papers
stat.ME2025
Uncertainty Quantification for Ranking with Heterogeneous Preferences
Jianqing Fan, Hyukjun Kwon, Xiaonan Zhu
This paper studies human preference learning based on partially revealed choice behavior and formulates the problem as a generalized Bradley-Terry-Luce (BTL) ranking model that acc…
stat.AP2025
Feature Augmentations for High-Dimensional Learning
Xiaonan Zhu, Bingyan Wang, Jianqing Fan
High-dimensional measurements are often correlated which motivates their approximation by factor models. This holds also true when features are engineered via low-dimensional inter…