2 papers
cs.LG2026
StablePCA: Distributionally Robust Learning of Shared Representations from Multi-Source Data
Zhenyu Wang, Molei Liu, Jing Lei +2
When synthesizing multi-source high-dimensional data, a key objective is to extract low-dimensional representations that effectively approximate the original features across differ…
stat.ME2026
Statistical Analysis of Conditional Group Distributionally Robust Optimization with Cross-Entropy Loss
Zijian Guo, Zhenyu Wang, Yifan Hu +1
In multi-source learning with discrete labels, distributional heterogeneity across domains poses a central challenge to developing predictive models that transfer reliably to unsee…