3 papers
stat.AP2026
Stein-Encoder: A White-Box Supervised Encoder via Stein Identities in Multi-Modal Studies
Jiarui Zhang, Shuoxun Xu, Jiasheng Shi +1
In multi-modal biomedical research, integrating high-dimensional genomic data with clinical baselines is essential for precision medicine. However, standard deep neural network app…
cs.LG2026
Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning
Ziheng Cheng, Yixiao Huang, Hanlin Zhu +5
Diffusion models are increasingly used as powerful conditional generators, yet real deployments often involve multiple target distributions arising from different tasks, e.g., dive…
stat.ME2026
In-Sample Evaluation of Subgroups Identified by Generic Machine Learning
Shuoxun Xu, Xinzhou Guo
When a subgroup is identified from the data, it must be evaluated in a replicable way. The usual in-sample approach, which evaluates the post-hoc identified subgroup as predefined,…