LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation
LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation
Low-rank matrix estimation is a fundamental problem in statistics and machine learning. In the context of heterogeneous data generated from diverse sources, a key challenge lies in leveraging data from a source population to enhance the estimation of a low-rank matrix in a target population of interest. One such example …