Simple Meets Optimal: Some New Results for Model Selection Using One-Step Thresholding
The problem of model selection arises in a number of contexts, such as subset selection in linear regression, estimation of structures in graphical models, and signal denoising. In this talk, I introduce a simple algorithm, termed one-step thresholding (OST) algorithm, for model-order agnostic model selection in linear inference problems. I …