Trans-Ising screens auxiliary Ising sources by held-out target pseudolikelihood, pools them with lasso, then applies target-only SCAD correction to get better rates and exact neighborhood recovery than target-only or naive pooling.
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Transfer Learning in High-dimensional Ising Models
Trans-Ising screens auxiliary Ising sources by held-out target pseudolikelihood, pools them with lasso, then applies target-only SCAD correction to get better rates and exact neighborhood recovery than target-only or naive pooling.