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On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function

25 May 2016

Papers citing "On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function"

3 / 3 papers shown

Title
Support recovery and sup-norm convergence rates for sparse pivotal estimation Mathurin Massias Quentin Bertrand Alexandre Gramfort Joseph Salmon 36 4 0 15 Jan 2020
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions Xingguo Li Lin F. Yang J. Ge Jarvis Haupt Tong Zhang T. Zhao 60 14 0 19 Jun 2017
Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression Eugène Ndiaye Olivier Fercoq Alexandre Gramfort V. Leclère Joseph Salmon 65 28 0 08 Jun 2016