A closed-form proximal operator for jointly updating coefficients and their adaptive Lasso penalties enables debiased variable selection with arbitrary sparsity structure in nonlinear models.
Lasso meets horseshoe: A survey
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Proximal Iteration for Nonlinear Adaptive Lasso
A closed-form proximal operator for jointly updating coefficients and their adaptive Lasso penalties enables debiased variable selection with arbitrary sparsity structure in nonlinear models.