Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression. DN Phan, HM Le, HA Le Thi IJCAI, 1369-1375, 2018 | 42 | 2018 |
Stochastic DCA for the large-sum of non-convex functions problem and its application to group variable selection in classification HA Le Thi, HM Le, DN Phan, B Tran International Conference on Machine Learning, 3394-3403, 2017 | 30 | 2017 |
An inertial block majorization minimization framework for nonsmooth nonconvex optimization LTK Hien, DN Phan, N Gillis Journal of Machine Learning Research 24, 1-41, 2023 | 28* | 2023 |
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression HAL Thi, HM Le, DN Phan, B Tran Neural Networks, 2020 | 22 | 2020 |
Group variable selection via ℓp, 0 regularization and application to optimal scoring DN Phan, HA Le Thi Neural Networks 118, 220-234, 2019 | 22 | 2019 |
DC programming and DCA for sparse Fisher linear discriminant analysis HA Le Thi, DN Phan Neural Computing and Applications 28 (9), 2809-2822, 2017 | 22 | 2017 |
DC programming and DCA for sparse optimal scoring problem HA Le Thi, DN Phan Neurocomputing 186, 170-181, 2016 | 20 | 2016 |
SpeedyIBL: A comprehensive, precise, and fast implementation of instance-based learning theory TN Nguyen, DN Phan, C Gonzalez Behavior Research Methods, 1-24, 2022 | 18* | 2022 |
Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning HA Le Thi, HM Le, DN Phan, B Tran Applied Mathematics and Computation 409, 125904, 2021 | 14* | 2021 |
Sparse covariance matrix estimation by DCA-based algorithms DN Phan, HA Le Thi, TP Dinh Neural computation 29 (11), 3040-3077, 2017 | 14 | 2017 |
Block Bregman Majorization Minimization with Extrapolation LT Khanh Hien, DN Phan, N Gillis, M Ahookhosh, P Patrinos SIAM Journal on Mathematics of Data Science 4 (1), 1-25, 2022 | 13 | 2022 |
Inertial alternating direction method of multipliers for non-convex non-smooth optimization LTK Hien, DN Phan, N Gillis Computational Optimization and Applications 83 (1), 247-285, 2022 | 11 | 2022 |
An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems DN Phan, TN Nguyen Journal of Computational and Applied Mathematics 396, 113602, 2021 | 8 | 2021 |
DCA based approaches for bi-level variable selection and application for estimate multiple sparse covariance matrices HA Le Thi, DN Phan, TP Dinh Neurocomputing 466, 162-177, 2021 | 6 | 2021 |
DCA based algorithms for learning with sparsity in high dimensional setting and stochastical learning DN Phan Université de Lorraine, 2016 | 6* | 2016 |
Efficient bi-level variable selection and application to estimation of multiple covariance matrices DN Phan, HA Le Thi, DT Pham Pacific-Asia Conference on Knowledge Discovery and Data Mining, 304-316, 2017 | 3 | 2017 |
A DC programming approach for sparse linear discriminant analysis PD Nhat, MC Nguyen, HA Le Thi Advanced Computational Methods for Knowledge Engineering: Proceedings of the …, 2014 | 3 | 2014 |
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models TN Nguyen, DN Phan, C Gonzalez ACM Transactions on Autonomous and Adaptive Systems 18 (4), 1-22, 2023 | 2 | 2023 |
Geometric characterizations for strong minima with applications to nuclear norm minimization problems J Fadili, TTA Nghia, DN Phan arXiv preprint arXiv:2308.09224, 2023 | 2 | 2023 |
A Novel Approach for Estimating Multiple Sparse Precision Matrices Using ℓ0, 0 Regularization DN Phan, HA Le Thi 2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017 | 2 | 2017 |