IRTY : A Quadratic Approximation Approach for Dirty Statistical Models

In this paper, we develop a family of algorithms for optimizing “superpositionstructured” or “dirty” statistical estimators for high-dimensional problems involving the minimization of the sum of a smooth loss function with a hybrid regularization. Most of the current approaches are first-order methods, including proximal gradient or Alternating Direction… CONTINUE READING