Differential properties of Euclidean projection onto power cone. - Le Thi Khanh Hien (Math. Methods Oper. Res., 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)

Sequential smoothing framework for convex-concave saddle point problems with application to large-scale constrained optimization. - Le Thi Khanh Hien; William B. Haskell 001 (Allerton, 2017)

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)

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization. - Le Thi Khanh Hien; Cuong V. Nguyen; Huan Xu 001; Canyi Lu; Jiashi Feng (J. Optim. Theory Appl., 2019)

Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. - Andersen Man Shun Ang; Jeremy E. Cohen; Le Thi Khanh Hien; Nicolas Gillis (ICASSP, 2020)

Mitigating Interdiction Risk with Fortification. - Le Thi Khanh Hien; Melvyn Sim; Huan Xu 001 (Oper. Res., 2020)

Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF. - Olivier Vu Thanh; Andersen Man Shun Ang; Nicolas Gillis; Le Thi Khanh Hien (EUSIPCO, 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)

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)

Block Alternating Bregman Majorization Minimization with Extrapolation. - Le Thi Khanh Hien; Duy Nhat Phan; Nicolas Gillis; Masoud Ahookhosh; Panagiotis Patrinos (CoRR, 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)

Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. - Le Thi Khanh Hien; Nicolas Gillis (J. Sci. Comput., 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)

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)

Multiblock ADMM for nonsmooth nonconvex optimization with nonlinear coupling constraints. - Le Thi Khanh Hien; Dimitri Papadimitriou (CoRR, 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)

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)

Anomaly detection in irregular image sequences for concentrated solar power plants. - Sukanya Patra; Le Thi Khanh Hien; Souhaib Ben Taieb (ESANN, 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)

Block Majorization Minimization with Extrapolation and Application to β-NMF. - Le Thi Khanh Hien; Valentin Leplat; Nicolas Gillis (CoRR, 2024)

Deep Nonnegative Matrix Factorization With Beta Divergences. - Valentin Leplat; Le Thi Khanh Hien; Akwum Onwunta; Nicolas Gillis (Neural Comput., 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)

An Inexact Primal-Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems. - Le Thi Khanh Hien; Renbo Zhao; William B. Haskell 001 (J. Optim. Theory Appl., 2024)

An inertial ADMM for a class of nonconvex composite optimization with nonlinear coupling constraints. - Le Thi Khanh Hien; Dimitri Papadimitriou (J. Glob. Optim., 2024)