Duy Nhat Phan
Duy Nhat Phan
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Conference paper
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2022
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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).
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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.
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Nguyen Thuy Ngoc
,
Duy Nhat Phan
,
Cleotilde Gonzalez
(2022).
SpeedyIBL: A comprehensive, precise, and fast implementation of instance-based learning theory
.
Behavior Research Methods
.
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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.
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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.
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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.
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Duy Nhat Phan
,
Hoai An Le Thi
(2021).
DCA based Algorithm with Extrapolation for Nonconvex Nonsmooth Optimization
. Submitted.
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Thuy Ngoc Nguyen
,
Duy Nhat Phan
,
Cleotilde Gonzalez
(2021).
A Cognitive Hysteretic-IBL Model for Coordinated Multi-Agent Transportation Problems
.
Collective Intelligence
.
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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.
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Hoai An Le Thi
,
Duy Nhat Phan
,
Tao Pham Dinh
(2021).
Advanced Difference-of-Convex functions Algorithms
. Submitted.
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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.
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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.
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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
.
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Duy Nhat Phan
,
Hoai An Le Thi
,
Tao Pham Dinh
(2017).
Sparse Covariance Matrix Estimation by DCA-Based Algorithms
.
Neural Computation
, 29: 3040-3077.
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Duy Nhat Phan
,
Hoai An Le Thi
(2017).
A Novel Approach for Estimating Multiple Sparse Precision Matrices Using L_0,0 Regularization
.
DSAA
.
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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.
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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
.
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Hoai An Le Thi
,
Hoai Minh Le
,
Duy Nhat Phan
,
Bach Tran
(2017).
Stochastic DCA for Sparse Multiclass Logistic Regression
.
ICCSAMA
.
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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
.
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Hoai An Le Thi
,
Duy Nhat Phan
(2016).
DC programming and DCA for sparse optimal scoring problem
.
Neurocomputing
, 186:170-181.
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Hoai An Le Thi
,
Duy Nhat Phan
(2015).
A DC Programming Approach for Sparse Optimal Scoring
.
PAKDD
.
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Duy Nhat Phan
,
Hoai An Le Thi
,
Tao Pham Dinh
(2015).
A DC Programming Approach for Sparse Estimation of a Covariance Matrix
.
MCO
.
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Duy Nhat Phan
,
Manh Cuong Nguyen
,
Hoai An Le Thi
(2014).
A dc programming approach for sparse linear discriminant analysis
.
ICCSAMA
.
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