Estimation with Norm Regularization

NeurIPS 2014 Arindam BanerjeeSheng ChenFarideh FazayeliVidyashankar Sivakumar

Analysis of non-asymptotic estimation error and structured statistical recovery based on norm regularized regression, such as Lasso, needs to consider four aspects: the norm, the loss function, the design matrix, and the noise model. This paper presents generalizations of such estimation error analysis on all four aspects compared to the existing literature... (read more)

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