Stochastic Difference-of-Convex-Functions Algorithms for Nonconvex Programming

Solving Nonsmooth and Nonconvex Compound Stochastic Programs with Applications to Risk Measure Minimization

(2022) Junyi Liu et al.   MATHEMATICS OF OPERATIONS RESEARCH

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

(2020) Hoai An Le Thi et al.   NEURAL NETWORKS

Stochastic Model-Based Minimization of Weakly Convex Functions

(2019) Damek Davis et al.   SIAM JOURNAL ON OPTIMIZATION

Stochastic Successive Convex Approximation for Non-Convex Constrained Stochastic Optimization

(2019) An Liu et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Stochastic Successive Convex Approximation for General Stochastic Optimization Problems

(2019) Chencheng Ye et al.   IEEE Wireless Communications Letters

DC programming and DCA: thirty years of developments

(2018) Hoai An Le Thi et al.   MATHEMATICAL PROGRAMMING

Decomposition Methods for Computing Directional Stationary Solutions of a Class of Nonsmooth Nonconvex Optimization Problems

(2018) Jong-Shi Pang et al.   SIAM JOURNAL ON OPTIMIZATION

Convergence Analysis of Difference-of-Convex Algorithm with Subanalytic Data

(2018) Hoai An Le Thi et al.   JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

Computing B-Stationary Points of Nonsmooth DC Programs

(2017) Jong-Shi Pang et al.   MATHEMATICS OF OPERATIONS RESEARCH

Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model

(2017) Hoai An Le Thi et al.   OPTIMIZATION AND ENGINEERING

Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity

(2017) Miju Ahn et al.   SIAM JOURNAL ON OPTIMIZATION

Non-Negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics

(2016) Andrea Montanari et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

A Stochastic Successive Minimization Method for Nonsmooth Nonconvex Optimization with Applications to Transceiver Design in Wireless Communication Networks

(2016) Meisam Razaviyayn et al.   MATHEMATICAL PROGRAMMING

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

Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization

(2014) Saeed Ghadimi et al.   MATHEMATICAL PROGRAMMING

Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming

(2013) Saeed Ghadimi et al.   SIAM JOURNAL ON OPTIMIZATION

Sample Average Approximation Method for Compound Stochastic Optimization Problems

(2013) Yuri M. Ermoliev et al.   SIAM JOURNAL ON OPTIMIZATION

On solving Linear Complementarity Problems by DC programming and DCA

(2011) Hoai An Le Thi et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Paraconvex functions and paraconvex sets

(2008) Huynh Van Ngai et al.   STUDIA MATHEMATICA