70 citations · 123 across the 13 of their papers we have counts for
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stat.ME2020★ 7 cited
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression
Linjun Zhang, Rong Ma, T. Tony Cai +1
This paper studies the high-dimensional mixed linear regression (MLR) where the output variable comes from one of the two linear regression models with an unknown mixing proportion…
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…
math.ST2020★ 6 cited
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates
T. Tony Cai, Hongzhe Li, Rong Ma
Driven by a wide range of applications, many principal subspace estimation problems have been studied individually under different structural constraints. This paper presents a uni…