Le Thi Khanh Hien

According to our database, Le Thi Khanh Hien authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An inertial ADMM for a class of nonconvex composite optimization with nonlinear coupling constraints.

Le Thi Khanh Hien, Dimitri Papadimitriou

J. Glob. Optim., August, 2024

An Inexact Primal-Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems.

Le Thi Khanh Hien, Renbo Zhao, William B. Haskell

J. Optim. Theory Appl., January, 2024

Anomaly detection with semi-supervised classification based on risk estimators.

Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb

Trans. Mach. Learn. Res., 2024

Deep Nonnegative Matrix Factorization With Beta Divergences.

Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis

Neural Comput., 2024

Block Majorization Minimization with Extrapolation and Application to β-NMF.

Le Thi Khanh Hien, Valentin Leplat, Nicolas Gillis

CoRR, 2024

2023

An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization.

Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis

J. Mach. Learn. Res., 2023

Anomaly detection in irregular image sequences for concentrated solar power plants.

Sukanya Patra, Le Thi Khanh Hien, Souhaib Ben Taieb

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Block Bregman Majorization Minimization with Extrapolation.

Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos

SIAM J. Math. Data Sci., 2022

Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization.

Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multiblock ADMM for nonsmooth nonconvex optimization with nonlinear coupling constraints.

Le Thi Khanh Hien, Dimitri Papadimitriou

CoRR, 2022

Inertial alternating direction method of multipliers for non-convex non-smooth optimization.

Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis

Comput. Optim. Appl., 2022

2021

Accelerating block coordinate descent for nonnegative tensor factorization.

Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien

Numer. Linear Algebra Appl., 2021

Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence.

Le Thi Khanh Hien, Nicolas Gillis

J. Sci. Comput., 2021

A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization.

Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos

J. Optim. Theory Appl., 2021

Block Alternating Bregman Majorization Minimization with Extrapolation.

Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos

CoRR, 2021

A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization.

Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis

CoRR, 2021

Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization.

Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos

Comput. Optim. Appl., 2021

Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF.

Olivier Vu Thanh, Andersen Man Shun Ang, Nicolas Gillis, Le Thi Khanh Hien

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Mitigating Interdiction Risk with Fortification.

Le Thi Khanh Hien, Melvyn Sim, Huan Xu

Oper. Res., 2020

Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition.

Andersen Man Shun Ang, Jeremy E. Cohen, Le Thi Khanh Hien, Nicolas Gillis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization.

Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng

J. Optim. Theory Appl., 2019

Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization.

Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos

CoRR, 2019

2017

Sequential smoothing framework for convex-concave saddle point problems with application to large-scale constrained optimization.

Le Thi Khanh Hien, William B. Haskell

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2015

A Superlinearly Convergent Smoothing Newton Continuation Algorithm for Variational Inequalities over Definable Sets.

Chek Beng Chua, L. T. K. Hien

SIAM J. Optim., 2015

Differential properties of Euclidean projection onto power cone.

Le Thi Khanh Hien

Math. Methods Oper. Res., 2015