4 papers
Transfer Learning with Heterogeneous Feature Spaces in Linear Regression
Zejing Zheng, Rui Huang, Junlong Zhao
Transfer learning improves target-task performance by leveraging related source data. Most methods assume shared feature spaces, yet in many applications, each source observes only…
Hub Detection in Gaussian Graphical Models
José Á. Sánchez Gómez, Weibin Mo, Junlong Zhao +1
Graphical models are popular tools for exploring relationships among a set of variables. The Gaussian graphical model (GGM) is an important class of graphical models, where the con…
Profiled Transfer Learning for High Dimensional Linear Model
Ziqian Lin, Junlong Zhao, Fang Wang +1
We develop here a novel transfer learning methodology called Profiled Transfer Learning (PTL). The method is based on the \textit{approximate-linear} assumption between the source…
Residual Importance Weighted Transfer Learning For High-dimensional Linear Regression
Junlong Zhao, Shengbin Zheng, Chenlei Leng
Transfer learning is an emerging paradigm for leveraging multiple sources to improve the statistical inference on a single target. In this paper, we propose a novel approach named…