Výsledky vyhledávání - "Le Thi Khanh Hien"

A Global Linear and Local Superlinear (Quadratic) Inexact Non-Interior Continuation Method for Variational Inequalities Over General Closed Convex Sets

Autor: Le Thi Khanh Hien, Chek Beng Chua

Publikováno v: Set-Valued and Variational Analysis. 29:109-144

We use the concept of barrier-based smoothing approximations to extend the non-interior continuation method, which was proposed by B. Chen and N. Xiu for nonlinear complementarity problems based on Chen-Mangasarian smoothing functions, to an inexact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::baa9e41afd7b7f3831df2b35c4edffb8
https://doi.org/10.1007/s11228-020-00540-6

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Akademický článek

An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization.

Autor: Le Thi Khanh Hien¹ KHANHHIENNT@GMAIL.COM, Duy Nhat Phan² NHATSP@GMAIL.COM, Gillis, Nicolas³ NICOLAS.GILLIS@UMONS.AC.BE

Publikováno v: Journal of Machine Learning Research. 2023, Vol. 24, p1-41. 41p.

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Inertial Majorization-Minimization Algorithm for Minimum-Volume NMF

Autor: Olivier Vu Thanh, Andersen Ang, Nicolas Gillis, Le Thi Khanh Hien

Publikováno v: 2021 29th European Signal Processing Conference (EUSIPCO).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f88e5f2e515eef0c0a83071dcd9e616
https://doi.org/10.23919/eusipco54536.2021.9616152

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Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization

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

Publikováno v: Numerical Linear Algebra with Applications
Numerical Linear Algebra with Applications, 2021, 28 (5), ⟨10.1002/nla.2373⟩
Numerical Linear Algebra with Applications, Wiley, 2021, 28 (5), ⟨10.1002/nla.2373⟩

This paper is concerned with improving the empirical convergence speed of block-coordinate descent algorithms for approximate nonnegative tensor factorization (NTF). We propose an extrapolation strategy in-between block updates, referred to as heuris

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38c51f4f63bf211908236411572add1a
https://hal.science/hal-03038513

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

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

Publikováno v: Computational Optimization and Applications
Computational optimization and applications

We introduce and analyze BPALM and A-BPALM, two multi-block proximal alternating linearized minimization algorithms using Bregman distances for solving structured nonconvex problems. The objective function is the sum of a multi-block relatively smoot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c852103905219237841629af22b61492

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A Block Inertial Bregman Proximal Algorithm for nonsmooth nonconvex problems with application to symmetric nonnegative matrix tri-factorization

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

Publikováno v: Journal of optimization theory and applications
Journal of Optimization Theory and Applications

We propose BIBPA, a block inertial Bregman proximal algorithm for minimizing the sum of a block relatively smooth function (that is, relatively smooth concerning each block) and block separable nonsmooth nonconvex functions. We prove that the sequenc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7396ca2e144546828b44f4385eef7ad
https://hdl.handle.net/10067/1795840151162165141

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

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

Publikováno v: Journal of Optimization Theory and Applications. 181:541-566

We consider the problem of minimizing the sum of an average function of a large number of smooth convex components and a general, possibly non-differentiable, convex function. Although many methods have been proposed to solve this problem with the as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e915e5a435c4a4cef145f7e954b22bc
https://doi.org/10.1007/s10957-018-01469-5

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Mitigating Interdiction Risk with Fortification

Autor: Le Thi Khanh Hien, Melvyn Sim, Huan Xu

Publikováno v: Operations Research.

Critical infrastructure is inevitably subject to the risk of interdictions, which may potentially cripple its ability to channel resources to fulfill demands at various destinations. Mitigating suc...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::68aa9e5f188ef1899b1f2c4fd82ad254
https://doi.org/10.1287/opre.2019.1890

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