Duy Nhat Phan

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Alternating Direction Method Of Multipliers

Minimization Problems

Learning Models

Top Venues

SIAM J. Math. Data Sci.

J. Comput. Appl. Math.

ACM Trans. Auton. Adapt. Syst.

Publications

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) (2023)
Thuy-Ngoc Nguyen, Duy Nhat Phan, Cleotilde Gonzalez
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models. CoRR (2023)
Jalal Fadili, Tran T. A. Nghia, Duy Nhat Phan
Geometric characterizations for strong minima with applications to nuclear norm minimization problems. CoRR (2023)
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. 24 (2023)
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) (2022)
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) (2022)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR (2021)
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 (2021)
Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. CoRR (2020)
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 (2020)
Hoai An Le Thi, Hoai Minh Le, Duy Nhat Phan, Bach Tran
Stochastic DCA for Sparse Multiclass Logistic Regression. ICCSAMA (2017)