Yi Yu

most citedThe restricted consistency property of leave-

n_{v}

-out cross-validation for high-dimensional variable selection

9 citations · 12 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024★ 3 cited

Federated Transfer Learning with Differential Privacy

Mengchu Li, Ye Tian, Yang Feng +1

Federated learning has emerged as a powerful framework for analysing distributed data, yet two challenges remain pivotal: heterogeneity across sites and privacy of local data. In t…

stat.ME2013★ 9 cited

The restricted consistency property of leave- $n_{v}$ -out cross-validation for high-dimensional variable selection

Yang Feng, Yi Yu

Cross-validation (CV) methods are popular for selecting the tuning parameter in the high-dimensional variable selection problem. We show the mis-alignment of the CV is one possible…

Federated Transfer Learning with Differential Privacy

The restricted consistency property of leave-nv​-out cross-validation for high-dimensional variable selection

The restricted consistency property of leave- $n_{v}$ -out cross-validation for high-dimensional variable selection