We consider the following instance of transfer learning: given a pair of regression problems, suppose that the regression coefficients share a partially common support, parameterized by the overlap fraction $\overlap$ between the two supports. This setup suggests the use of $1, \infty$regularized linear regression for recovering the support sets of both regression vectors... (read more)
PDFMETHOD  TYPE  

Linear Regression

Generalized Linear Models 