21 citations · 70 across the 11 of their papers we have counts for
Showing 2020Show all
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stat.ME2020★ 5 cited
Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control
Sai Li, T. Tony Cai, Hongzhe Li
Transfer learning for high-dimensional Gaussian graphical models (GGMs) is studied with the goal of estimating the target GGM by utilizing the data from similar and related auxilia…
stat.ME2020★ 4 cited
Causal Inference for Nonlinear Outcome Models with Possibly Invalid Instrumental Variables
Sai Li, Zijian Guo
Instrumental variable methods are widely used for inferring the causal effect in the presence of unmeasured confounders. Existing instrumental variable methods for nonlinear outcom…
stat.ME2020★ 21 cited
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality
Sai Li, T. Tony Cai, Hongzhe Li
This paper considers the estimation and prediction of a high-dimensional linear regression in the setting of transfer learning, using samples from the target model as well as auxil…