A review on the adaptive-ridge algorithm with several extensions

Cites Work

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The Adaptive Lasso and Its Oracle Properties
Relationship between the optimal solutions of least squares regularized with $\ell_{0}$-norm and constrained by $k$-sparsity
On the ergodic convergence rates of a first-order primal-dual algorithm
Conjugate gradient acceleration of iteratively re-weighted least squares methods
A primal-dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms
Enhancing sparsity by reweighted $\ell _{1}$ minimization
On the real convergence rate of the conjugate gradient method
A scalable surrogate $L_0$ sparse regression method for generalized linear models with applications to large scale data
Highly sparse representations from dictionaries are unique and independent of the sparseness measure
One-step sparse estimates in nonconcave penalized likelihood models
A bilinear formulation for vector sparsity optimization
Sparsest solutions of underdetermined linear systems via $ \ell _q$-minimization for $0<q\leqslant 1$
The rate of convergence of conjugate gradients
On the convergence rate of the conjugate gradients in presence of rounding errors
A simple algorithm for a class of nonsmooth convex-concave saddle-point problems
Broken adaptive ridge regression and its asymptotic properties
A first-order primal-dual algorithm for convex problems with applications to imaging
A splitting algorithm for dual monotone inclusions involving cocoercive operators
Variable selection using MM algorithms
Sparse Modeling for Image and Vision Processing
Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed $\ell_q$ Minimization
On optimal solutions of the constrained ℓ ₀ regularization and its penalty problem
Activity Identification and Local Linear Convergence of Forward--Backward-type Methods
A Continuous Exact $\ell_0$ Penalty (CEL0) for Least Squares Regularized Problem
Stable recovery of sparse overcomplete representations in the presence of noise
Iteratively reweighted least squares minimization for sparse recovery
LAPACK Users' Guide
A Variational Method in Image Recovery
Convex half-quadratic criteria and interacting auxiliary variables for image restoration
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Regression modelling of interval censored data based on the adaptive ridge procedure
On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision
Regularization and Variable Selection Via the Elastic Net
Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery
Convex Analysis
The Elements of Statistical Learning
Graph-based spatial segmentation of areal data
Extreme learning machine Cox model for high-dimensional survival analysis
Regularized bidimensional estimation of the hazard rate

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