Le Thi Khanh Hien

31 papers B 1Misc 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Block Majorization Minimization with Extrapolation and Application to \({\beta }\)-NMF. SIAM J. Math. Data Sci. Le Thi Khanh Hien, Valentin Leplat, Nicolas Gillis
2024	J	`jnl`	An Inexact Primal-Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems. J. Optim. Theory Appl. Le Thi Khanh Hien, Renbo Zhao, William B. Haskell
2024	J	`jnl`	An inertial ADMM for a class of nonconvex composite optimization with nonlinear coupling constraints. J. Glob. Optim. Le Thi Khanh Hien, Dimitri Papadimitriou
2024	J	`jnl`	Anomaly detection with semi-supervised classification based on risk estimators. Trans. Mach. Learn. Res. Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb
2024	J	`jnl`	Block Majorization Minimization with Extrapolation and Application to β-NMF. CoRR Le Thi Khanh Hien, Valentin Leplat, Nicolas Gillis
2024	J	`jnl`	Deep Nonnegative Matrix Factorization With Beta Divergences. Neural Comput. Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis
2023	J	`jnl`	An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. J. Mach. Learn. Res. Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
2023	B	`conf`	Anomaly detection in irregular image sequences for concentrated solar power plants. ESANN Sukanya Patra, Le Thi Khanh Hien, Souhaib Ben Taieb
2023	J	`jnl`	Anomaly detection with semi-supervised classification based on risk estimators. CoRR Le Thi Khanh Hien, Sukanya Patra, Souhaib Ben Taieb
2023	J	`jnl`	Deep Nonnegative Matrix Factorization with Beta Divergences. CoRR Valentin Leplat, Le Thi Khanh Hien, Akwum Onwunta, Nicolas Gillis
2022	J	`jnl`	Block Bregman Majorization Minimization with Extrapolation. SIAM J. Math. Data Sci. Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
2022	J	`jnl`	Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan
2022	J	`jnl`	Inertial alternating direction method of multipliers for non-convex non-smooth optimization. Comput. Optim. Appl. Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
2022	J	`jnl`	Multiblock ADMM for nonsmooth nonconvex optimization with nonlinear coupling constraints. CoRR Le Thi Khanh Hien, Dimitri Papadimitriou
2021	J	`jnl`	A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization. J. Optim. Theory Appl. Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos
2021	J	`jnl`	A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization. CoRR Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
2021	J	`jnl`	Accelerating block coordinate descent for nonnegative tensor factorization. Numer. Linear Algebra Appl. Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien
2021	J	`jnl`	Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. J. Sci. Comput. Le Thi Khanh Hien, Nicolas Gillis
2021	J	`jnl`	Block Alternating Bregman Majorization Minimization with Extrapolation. CoRR Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis, Masoud Ahookhosh, Panagiotis Patrinos
2021	—	`conf`	Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF. EUSIPCO Olivier Vu Thanh, Andersen Man Shun Ang, Nicolas Gillis, Le Thi Khanh Hien
2021	J	`jnl`	Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization. Comput. Optim. Appl. Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos
2020	J	`jnl`	Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization. CoRR Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien
2020	J	`jnl`	Algorithms for Nonnegative Matrix Factorization with the Kullback-Leibler Divergence. CoRR Le Thi Khanh Hien, Nicolas Gillis
2020	J	`jnl`	An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization. CoRR Le Thi Khanh Hien, Duy Nhat Phan, Nicolas Gillis
2020	Misc	`conf`	Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. ICASSP Andersen Man Shun Ang, Jeremy E. Cohen, Le Thi Khanh Hien, Nicolas Gillis
2020	J	`jnl`	Mitigating Interdiction Risk with Fortification. Oper. Res. Le Thi Khanh Hien, Melvyn Sim, Huan Xu
2019	J	`jnl`	Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization. J. Optim. Theory Appl. Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng
2019	J	`jnl`	Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization. CoRR Nicolas Gillis, Le Thi Khanh Hien, Valentin Leplat, Vincent Y. F. Tan
2019	J	`jnl`	Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. CoRR Masoud Ahookhosh, Le Thi Khanh Hien, Nicolas Gillis, Panagiotis Patrinos
2017	—	`conf`	Sequential smoothing framework for convex-concave saddle point problems with application to large-scale constrained optimization. Allerton Le Thi Khanh Hien, William B. Haskell
2015	J	`jnl`	Differential properties of Euclidean projection onto power cone. Math. Methods Oper. Res. Le Thi Khanh Hien