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math.ST2026
Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap
Lorenzo Testa, Qi Xu, Jing Lei +1
In modern scientific applications, large volumes of covariate data are readily available, while outcome labels are costly, sparse, and often subject to distribution shift. This asy…
math.ST2025
A Modern Theory of Cross-Validation through the Lens of Stability
Jing Lei
Modern data analysis and statistical learning are marked by complex data structures and black-box algorithms. Data complexity stems from technologies such as imaging, remote sensin…
math.ST2025
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships
Kevin Z Lin, Jing Lei
We consider a time-ordered sequence of networks stemming from stochastic block models where nodes gradually change their memberships over time, and no network at any single time po…