Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression

Group variable selection via ℓp,0 regularization and application to optimal scoring

(2019) Duy Nhat Phan et al.   NEURAL NETWORKS

Sparse Covariance Matrix Estimation by DCA-Based Algorithms

(2017) Duy Nhat Phan et al.   NEURAL COMPUTATION

Minimizing finite sums with the stochastic average gradient

(2016) Mark Schmidt et al.   MATHEMATICAL PROGRAMMING

DC programming and DCA for sparse optimal scoring problem

(2016) Hoai An Le Thi et al.   NEUROCOMPUTING

DC Proximal Newton for Nonconvex Optimization Problems

(2016) Alain Rakotomamonjy et al.   IEEE Transactions on Neural Networks and Learning Systems

DC approximation approaches for sparse optimization

(2015) H.A. Le Thi et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning

(2015) Julien Mairal   SIAM JOURNAL ON OPTIMIZATION

Sparse group lasso and high dimensional multinomial classification

(2013) Martin Vincent et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Penalized classification using Fisher's linear discriminant

(2011) Daniela M. Witten et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Incremental proximal methods for large scale convex optimization

(2011) Dimitri P. Bertsekas   MATHEMATICAL PROGRAMMING

A Gradient-Based Optimization Algorithm for LASSO

(2008) Jinseog Kim et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

A DC programming approach for feature selection in support vector machines learning

(2008) Hoai An Le Thi et al.   Advances in Data Analysis and Classification