Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control

Group SLOPE - adaptive selection of groups of predictors

(2018) Damian Brzyski et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Improved bounds for Square-Root Lasso and Square-Root Slope

(2018) Alexis Derumigny   Electronic Journal of Statistics

Slope meets Lasso: Improved oracle bounds and optimality

(2018) Pierre C. Bellec et al.   ANNALS OF STATISTICS

SLOPE is adaptive to unknown sparsity and asymptotically minimax

(2016) Weijie Su et al.   ANNALS OF STATISTICS

SLOPE—Adaptive variable selection via convex optimization

(2015) Małgorzata Bogdan et al.   Annals of Applied Statistics

A new Bayesian lasso

(2014) Himel Mallick et al.   Statistics and Its Interface

On the Convergence of Block Coordinate Descent Type Methods

(2013) Amir Beck et al.   SIAM JOURNAL ON OPTIMIZATION

A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization

(2013) Meisam Razaviyayn et al.   SIAM JOURNAL ON OPTIMIZATION

Stability selection

(2010) Nicolai Meinshausen et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Sparsistency and rates of convergence in large covariance matrix estimation

(2009) Clifford Lam et al.   ANNALS OF STATISTICS

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

The Bayesian Lasso

(2008) Trevor Park et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

First-Order Methods for Sparse Covariance Selection

(2008) Alexandre d'Aspremont et al.   SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

Sparse permutation invariant covariance estimation

(2008) Adam J. Rothman et al.   Electronic Journal of Statistics