Duy Nhat Phan
Duy Nhat Phan
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Duy Nhat Phan
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Inertial block majorization minimization framework for nonconvex nonsmooth optimization
Inertial alternating direction method of multipliers for non-convex non-smooth optimization
SpeedyIBL: A comprehensive, precise, and fast implementation of instance-based learning theory
Block Bregman Majorization Minimization with Extrapolation
An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems
Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning
DCA based Algorithm with Extrapolation for Nonconvex Nonsmooth Optimization
A Cognitive Hysteretic-IBL Model for Coordinated Multi-Agent Transportation Problems
DCA based approaches for bi-level variable selection and application for estimate multiple sparse covariance matrices
Advanced Difference-of-Convex functions Algorithms
Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression
Group variable selection via L_p,0 regularization and application to optimal scoring
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression
Sparse Covariance Matrix Estimation by DCA-Based Algorithms
A Novel Approach for Estimating Multiple Sparse Precision Matrices Using L_0,0 Regularization
DC programming and DCA for sparse Fisher linear discriminant analysis
Stochastic DCA for the large-sum of non-convex functions problem and its application to group variable selection in classification
Efficient bi-level variable selection and application to estimation of multiple covariance matrices
Stochastic DCA for Sparse Multiclass Logistic Regression
DC programming and DCA for sparse optimal scoring problem
A DC Programming Approach for Sparse Optimal Scoring
A DC Programming Approach for Sparse Estimation of a Covariance Matrix
A dc programming approach for sparse linear discriminant analysis
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