Transfer learning for high‐dimensional linear regression: Prediction, estimation and minimax optimality

This paper considers estimation and prediction of a high‐dimensional linear regression in the setting of transfer learning where, in addition to observations from the target model, auxiliary samples from different but possibly related regression models are available. When the set of informative auxi...

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