Publications

Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis (2022). Inertial block majorization minimization framework for nonconvex nonsmooth optimization. Journal of Machine Learning Research (Accepted).

Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis (2022). Inertial alternating direction method of multipliers for non-convex non-smooth optimization. Computational Optimization and Applications, 83:247–285.

Nguyen Thuy Ngoc, Duy Nhat Phan, Cleotilde Gonzalez (2022). SpeedyIBL: A comprehensive, precise, and fast implementation of instance-based learning theory. Behavior Research Methods.

Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, and Panagiotis Patrinos (2022). Block Bregman Majorization Minimization with Extrapolation. SIAM Journal on Mathematics of Data Science, 4:1-25.

Duy Nhat Phan, Thuy Ngoc Nguyen (2021). An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems. Journal of Computational and Applied Mathematics, 396.

Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, BachTran (2021). Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning. Applied Mathematics and Computation, 409.

Duy Nhat Phan, Hoai An Le Thi (2021). DCA based Algorithm with Extrapolation for Nonconvex Nonsmooth Optimization. Submitted.

Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez (2021). A Cognitive Hysteretic-IBL Model for Coordinated Multi-Agent Transportation Problems. Collective Intelligence.

Hoai An Le Thi, Duy Nhat Phan, Tao Pham Dinh (2021). DCA based approaches for bi-level variable selection and application for estimate multiple sparse covariance matrices. Neurocomputing, 466:162-177.

Hoai An Le Thi, Duy Nhat Phan, Tao Pham Dinh (2021). Advanced Difference-of-Convex functions Algorithms. Submitted.

Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, BachTran (2020). Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression. Neural Networks, 132: 220-231.

Duy Nhat Phan, Hoai An Le Thi (2019). Group variable selection via L_p,0 regularization and application to optimal scoring. Neural Networks, 118: 220-234.

Duy Nhat Phan, Hoai Minh Le, Hoai An Le Thi (2018). Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression. IJCAI.

Duy Nhat Phan, Hoai An Le Thi, Tao Pham Dinh (2017). Sparse Covariance Matrix Estimation by DCA-Based Algorithms. Neural Computation, 29: 3040-3077.

Duy Nhat Phan, Hoai An Le Thi (2017). A Novel Approach for Estimating Multiple Sparse Precision Matrices Using L_0,0 Regularization. DSAA.

Hoai An Le Thi, Duy Nhat Phan (2017). DC programming and DCA for sparse Fisher linear discriminant analysis. Neural Computing and Applications, 28:2809-2822.

Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran (2017). Stochastic DCA for the large-sum of non-convex functions problem and its application to group variable selection in classification. ICML.

Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran (2017). Stochastic DCA for Sparse Multiclass Logistic Regression. ICCSAMA.

Duy Nhat Phan, Hoai An Le Thi, Tao Pham Dinh (2017). Efficient bi-level variable selection and application to estimation of multiple covariance matrices. PAKDD.

Hoai An Le Thi, Duy Nhat Phan (2016). DC programming and DCA for sparse optimal scoring problem. Neurocomputing, 186:170-181.

Hoai An Le Thi, Duy Nhat Phan (2015). A DC Programming Approach for Sparse Optimal Scoring. PAKDD.

Duy Nhat Phan, Hoai An Le Thi, Tao Pham Dinh (2015). A DC Programming Approach for Sparse Estimation of a Covariance Matrix. MCO.

Duy Nhat Phan, Manh Cuong Nguyen, Hoai An Le Thi (2014). A dc programming approach for sparse linear discriminant analysis. ICCSAMA.