Phan Duy Nhat
Orcid: 0000-0002-7406-8206
According to our database1,
Phan Duy Nhat
authored at least 26 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
ACM Trans. Auton. Adapt. Syst., December, 2023
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization.
J. Mach. Learn. Res., 2023
Geometric characterizations for strong minima with applications to nuclear norm minimization problems.
CoRR, 2023
2022
SIAM J. Math. Data Sci., 2022
Inertial alternating direction method of multipliers for non-convex non-smooth optimization.
Comput. Optim. Appl., 2022
2021
An accelerated IRNN-Iteratively Reweighted Nuclear Norm algorithm for nonconvex nonsmooth low-rank minimization problems.
J. Comput. Appl. Math., 2021
DCA based approaches for bi-level variable selection and application for estimate multiple sparse covariance matrices.
Neurocomputing, 2021
SpeedyIBL: A Solution to the Curse of Exponential Growth in Instance-Based Learning Models of Decisions from Experience.
CoRR, 2021
A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization.
CoRR, 2021
Novel DCA based algorithms for a special class of nonconvex problems with application in machine learning.
Appl. Math. Comput., 2021
2020
Stochastic DCA for minimizing a large sum of DC functions with application to multi-class logistic regression.
Neural Networks, 2020
2019
Group variable selection via ℓp, 0 regularization and application to optimal scoring.
Neural Networks, 2019
2018
A DCA-Like Algorithm and its Accelerated Version with Application in Data Visualization.
CoRR, 2018
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Neural Comput. Appl., 2017
Efficient Bi-level Variable Selection and Application to Estimation of Multiple Covariance Matrices.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2017
A Novel Approach for Estimating Multiple Sparse Precision Matrices Using ℓ0, 0 Regularization.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
2016
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).
PhD thesis, 2016
2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015
2014
Proceedings of the Advanced Computational Methods for Knowledge Engineering, 2014