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ORCIDPhan Duy Nhat
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2020 – today
- 2024
[j13]Duy Nhat Phan
, Hoai An Le Thi:
Difference-of-Convex Algorithm with Extrapolation for Nonconvex, Nonsmooth Optimization Problems. Math. Oper. Res. 49(3): 1973-1985 (2024)- 2023
- [j12]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. 24: 18:1-18:41 (2023) - [j11]Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez:
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models. ACM Trans. Auton. Adapt. Syst. 18(4): 15:1-15:22 (2023) - [i8]Thuy-Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez:
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models. CoRR abs/2308.09219 (2023) - [i7]Jalal Fadili, Tran T. A. Nghia, Duy Nhat Phan:
Geometric characterizations for strong minima with applications to nuclear norm minimization problems. CoRR abs/2308.09224 (2023) - 2022
- [j10]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
Inertial alternating direction method of multipliers for non-convex non-smooth optimization. Comput. Optim. Appl. 83(1): 247-285 (2022) - [j9]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos:
Block Bregman Majorization Minimization with Extrapolation. SIAM J. Math. Data Sci. 4(1): 1-25 (2022) - 2021
- [j8]Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran:
Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning. Appl. Math. Comput. 409: 125904 (2021) - [j7]Hoai An Le Thi, Duy Nhat Phan, Tao Pham Dinh:
DCA based approaches for bi-level variable selection and application for estimate multiple sparse covariance matrices. Neurocomputing 466: 162-177 (2021) - [j6]Duy Nhat Phan, Thuy Ngoc Nguyen:
An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems. J. Comput. Appl. Math. 396: 113602 (2021) - [i6]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization. CoRR abs/2102.05433 (2021) - [i5]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos:
Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR abs/2107.04395 (2021) - [i4]Thuy Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez:
SpeedyIBL: A Solution to the Curse of Exponential Growth in Instance-Based Learning Models of Decisions from Experience. CoRR abs/2111.10268 (2021) - 2020
- [j5]Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran:
Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression. Neural Networks 132: 220-231 (2020) - [i3]Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis:
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. CoRR abs/2010.12133 (2020)
2010 – 2019
- 2019
- [j4]Phan Duy Nhat, Hoai An Le Thi:
Group variable selection via ℓp, 0 regularization and application to optimal scoring. Neural Networks 118: 220-234 (2019) - [i2]Hoai An Le Thi, Hoai Minh Le, Phan Duy Nhat, Bach Tran:
Stochastic DCA for minimizing a large sum of DC functions with application to Multi-class Logistic Regression. CoRR abs/1911.03992 (2019) - 2018
- [c8]Phan Duy Nhat, Hoai Minh Le, Hoai An Le Thi:
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression. IJCAI 2018: 1369-1375 - [i1]Hoai An Le Thi, Hoai Minh Le, Phan Duy Nhat, Bach Tran:
A DCA-Like Algorithm and its Accelerated Version with Application in Data Visualization. CoRR abs/1806.09620 (2018) - 2017
- [j3]Hoai An Le Thi, Phan Duy Nhat:
DC programming and DCA for sparse Fisher linear discriminant analysis. Neural Comput. Appl. 28(9): 2809-2822 (2017) - [j2]Phan Duy Nhat, Hoai An Le Thi, Tao Pham Dinh:
Sparse Covariance Matrix Estimation by DCA-Based Algorithms. Neural Comput. 29(11) (2017) - [c7]Phan Duy Nhat, Hoai An Le Thi:
A Novel Approach for Estimating Multiple Sparse Precision Matrices Using ℓ0, 0 Regularization. DSAA 2017: 726-733 - [c6]Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran:
Stochastic DCA for Sparse Multiclass Logistic Regression. ICCSAMA 2017: 1-12 - [c5]Hoai An Le Thi, Hoai Minh Le, Phan Duy Nhat, Bach Tran:
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification. ICML 2017: 3394-3403 - [c4]Phan Duy Nhat, Hoai An Le Thi, Tao Pham Dinh:
Efficient Bi-level Variable Selection and Application to Estimation of Multiple Covariance Matrices. PAKDD (1) 2017: 304-316 - 2016
- [b1]Phan Duy Nhat:
DCA based algorithms for learning with sparsity in high dimensional setting and stochastical learning. (Algorithmes basés sur la programmation DC et DCA pour l'apprentissage avec la parcimonie et l'apprentissage stochastique en grande dimension). University of Lorraine, Nancy, France, 2016 - [j1]Hoai An Le Thi, Phan Duy Nhat:
DC programming and DCA for sparse optimal scoring problem. Neurocomputing 186: 170-181 (2016) - 2015
- [c3]Phan Duy Nhat, Hoai An Le Thi, Tao Pham Dinh:
A DC Programming Approach for Sparse Estimation of a Covariance Matrix. MCO (1) 2015: 131-142 - [c2]Hoai An Le Thi, Phan Duy Nhat:
A DC Programming Approach for Sparse Optimal Scoring. PAKDD (2) 2015: 435-446 - 2014
- [c1]Phan Duy Nhat, Manh Cuong Nguyen, Hoai An Le Thi:
A DC Programming Approach for Sparse Linear Discriminant Analysis. ICCSAMA 2014: 65-74
Coauthor Index
aka: Hoai An Le Thi
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