Globalized inexact proximal Newton-type methods for nonconvex composite functions

Inexact Successive quadratic approximation for regularized optimization

(2019) Ching-pei Lee et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

A flexible coordinate descent method

(2018) Kimon Fountoulakis et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

A family of inexact SQA methods for non-smooth convex minimization with provable convergence guarantees based on the Luo–Tseng error bound property

(2018) Man-Chung Yue et al.   MATHEMATICAL PROGRAMMING

On the convergence of a linesearch based proximal-gradient method for nonconvex optimization

(2017) S Bonettini et al.   INVERSE PROBLEMS

Fixed point algorithm based on adapted metric method for convex minimization problem with application to image deblurring

(2016) Dai-Qiang Chen et al.   ADVANCES IN COMPUTATIONAL MATHEMATICS

Practical inexact proximal quasi-Newton method with global complexity analysis

(2016) Katya Scheinberg et al.   MATHEMATICAL PROGRAMMING

Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization

(2016) S. Bonettini et al.   SIAM JOURNAL ON OPTIMIZATION

New convergence results for the scaled gradient projection method

(2015) S Bonettini et al.   INVERSE PROBLEMS

An inexact successive quadratic approximation method for L-1 regularized optimization

(2015) Richard H. Byrd et al.   MATHEMATICAL PROGRAMMING

Multi-step fixed-point proximity algorithms for solving a class of optimization problems arising from image processing

(2014) Qia Li et al.   ADVANCES IN COMPUTATIONAL MATHEMATICS

Fast First-Order Methods for Composite Convex Optimization with Backtracking

(2014) Katya Scheinberg et al.   FOUNDATIONS OF COMPUTATIONAL MATHEMATICS

A Semismooth Newton Method with Multidimensional Filter Globalization for $l_1$-Optimization

(2014) Andre Milzarek et al.   SIAM JOURNAL ON OPTIMIZATION

Proximal Newton-Type Methods for Minimizing Composite Functions

(2014) Jason D. Lee et al.   SIAM JOURNAL ON OPTIMIZATION

A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration

(2013) Peijun Chen et al.   INVERSE PROBLEMS

Robust inversion, dimensionality reduction, and randomized sampling

(2012) Aleksandr Aravkin et al.   MATHEMATICAL PROGRAMMING

Gradient methods for minimizing composite functions

(2012) Yu. Nesterov   MATHEMATICAL PROGRAMMING

The group lasso for logistic regression

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

Sparse Reconstruction by Separable Approximation

(2009) S.J. Wright et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

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