Adaptive multi-penalty regularization based on a generalized Lasso path

11 Oct 2017Markus GrasmairTimo KlockValeriya Naumova

For many algorithms, parameter tuning remains a challenging and critical task, which becomes tedious and infeasible in a multi-parameter setting. Multi-penalty regularization, successfully used for solving undetermined sparse regression of problems of unmixing type where signal and noise are additively mixed, is one of such examples... (read more)

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