Search Results - "Difference of convex functions algorithms"

Stochastic Difference-of-Convex-Functions Algorithms for Nonconvex Programming: Stochastic difference-of-convex-functions algorithms for nonconvex programming

Authors: Hoai An Le Thi Van Ngai Huynh Tao Pham Dinh et al.

Contributors: Hoai An Le Thi Van Ngai Huynh Tao Pham Dinh et al.

Source: SIAM Journal on Optimization. 32:2263-2293

Subject Terms: stochastic DC function, stochastic DCA, Applications of functional analysis in optimization, convex analysis, mathematical programming, economics, Methods of reduced gradient type, 0211 other engineering and technologies, Stochastic programming, subdifferential, Stochastic DC program, Stochastic DCA, 02 engineering and technology, stochastic DC program, Nonconvex programming, global optimization, Numerical methods based on necessary conditions, DC programs, DC program, [INFO]Computer Science [cs], Stochastic DC function, [MATH]Mathematics [math], DCA, Subdifferential

File Description: application/xml

Access URL: https://zbmath.org/7594343
https://doi.org/10.1137/20m1385706

Smoothing techniques and difference of convex functions algorithms for image reconstructions

Authors: Nguyen, Mau Nam An, Le Thi Hoai Giles, Daniel et al.

Source: Optimization. 69:1601-1633

Subject Terms: 0211 other engineering and technologies, 02 engineering and technology, Mathematics

Access URL: https://www.scilit.net/article/675b5e628e78fa77e299fefcc6464c8c?action=show-references
https://www.tandfonline.com/doi/full/10.1080/02331934.2019.1648467
https://pdxscholar.library.pdx.edu/mth_fac/234/

Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model

Authors: Hoai An Le Thi Tao Pham Dinh Le Thi, Hoai An et al.

Contributors: Hoai An Le Thi Tao Pham Dinh Le Thi, Hoai An et al.

Source: Optimization and Engineering. 18:873-906

Subject Terms: 0211 other engineering and technologies, [INFO]Computer Science [cs], 02 engineering and technology, [INFO] Computer Science [cs]

Access URL: https://link.springer.com/article/10.1007/s11081-017-9359-0

Learning sparse classifiers with difference of convex functions algorithms

Authors: Ong, Cheng Soon Le Thi, Hoai An

Contributors: Ong, Cheng Soon Le Thi, Hoai An

Source: Optimization Methods and Software. 28:830-854

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, [INFO] Computer Science [cs]

Access URL: https://hal.univ-lorraine.fr/hal-01636678
http://www.ong-home.my/papers/ong12dca-sparse.pdf
https://dblp.uni-trier.de/db/journals/oms/oms28.html#OngA13
https://dl.acm.org/doi/10.1080/10556788.2011.652630
https://www.tandfonline.com/doi/full/10.1080/10556788.2011.652630

Feature selection for linear SVMs under uncertain data: Robust optimization based on difference of convex functions algorithms

Authors: Hoai An Le Thi Xuan Thanh Vo Tao Pham Dinh et al.

Contributors: Hoai An Le Thi Xuan Thanh Vo Tao Pham Dinh et al.

Source: Neural Networks. 59:36-50

Subject Terms: Leukemia, Support Vector Machine, Data Interpretation, Statistical, Linear Models, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Humans, [INFO]Computer Science [cs], 02 engineering and technology, [INFO] Computer Science [cs], Microarray Analysis, Weather, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/25064040
https://hal.univ-lorraine.fr/hal-01636653v1
https://doi.org/10.1016/j.neunet.2014.06.011

Sparse Signal Recovery by Difference of Convex Functions Algorithms

Authors: Le Thi, Hoai An Nguyen Thi, Bich Thuy Le, Hoai Minh

Contributors: Le Thi, Hoai An Nguyen Thi, Bich Thuy Le, Hoai Minh

Source: Lecture Notes in Computer Science ISBN: 9783642365423

Subject Terms: [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]

Advanced Difference of Convex functions Algorithms for some topics of Machine Learning with Big Data

Authors: Tran, Bach UL, Thèses

Contributors: Tran, Bach UL, Thèses

Subject Terms: Apprentissage non supervisé, Apprentissage en profondeur, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Apprentissage automatique, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Classification, Clustering, Machine Learning, Deep Learning, Non-convex optimization, Programmation DC et DCA, Classification supervisée, Optimisation non-convexe, DC Programming and DCA

File Description: application/pdf

Access URL: https://hal.univ-lorraine.fr/tel-02557281v1

Advanced Difference of Convex functions Algorithms for some topics of Machine Learning with Big Data ; Algorithmes avancés de DCA pour certaines classes de problèmes en apprentissage automatique du Big Data

Authors: Tran, Bach Laboratoire de Génie Informatique, de Production et de Maintenance (LGIPM) Université de Lorraine (UL) et al.

Contributors: Tran, Bach Laboratoire de Génie Informatique, de Production et de Maintenance (LGIPM) Université de Lorraine (UL) et al.

Source: https://hal.univ-lorraine.fr/tel-02557281 ; Computer Science [cs]. Université de Lorraine, 2019. English. ⟨NNT : 2019LORR0255⟩.

Subject Terms: Machine Learning, DC Programming and DCA, Non-convex optimization, Deep Learning, Clustering, Classification, Apprentissage automatique, Programmation DC et DCA, Optimisation non-convexe, Apprentissage en profondeur, Apprentissage non supervisé, Classification supervisée, [INFO]Computer Science [cs], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]

Relation: NNT: 2019LORR0255

Availability: https://hal.univ-lorraine.fr/tel-02557281
https://hal.univ-lorraine.fr/tel-02557281v1/document
https://hal.univ-lorraine.fr/tel-02557281v1/file/DDOC_T_2019_0255_TRAN.pdf

Algorithmes avancés de DCA pour certaines classes de problèmes en apprentissage automatique du Big Data ; Advanced Difference of Convex functions Algorithms for some topics of Machine Learning with Big Data

Authors: Tran Bach, . Université de Lorraine Lê Thi, Hoai An

Contributors: Tran Bach, . Université de Lorraine Lê Thi, Hoai An

Subject Terms: Apprentissage automatique, Programmation DC et DCA, Optimisation non-convexe, Apprentissage en profondeur, Apprentissage non supervisé, Classification supervisée, Machine Learning, DC Programming and DCA, Non-convex optimization, Deep Learning, Clustering, Classification, 006.31

Relation: http://www.theses.fr/2019LORR0255/document

Availability: http://www.theses.fr/2019LORR0255/document

Smoothing techniques and difference of convex functions algorithms for image reconstructions.

Authors: Mau Nam, Nguyen Hoai An, Le Thi Giles, Daniel et al.

Source: Optimization; Jul-Aug2020, Vol. 69 Issue 7/8, p1601-1633, 33p

Subject Terms: IMAGE reconstruction algorithms, CONVEX functions, IMAGE reconstruction

Difference of convex functions algorithms (DCA) for image restoration via a Markov random field model.

Authors: Le Thi, Hoai Pham Dinh, Tao

Source: Optimization & Engineering; Dec2017, Vol. 18 Issue 4, p873-906, 34p

Advanced Difference of Convex functions Algorithms for some topics of Machine Learning with Big Data ; Algorithmes avancés de DCA pour certaines classes de problèmes en apprentissage automatique du Big Data

Authors: Tran Bach, . Université de Lorraine Lê Thi, Hoai An

Contributors: Tran Bach, . Université de Lorraine Lê Thi, Hoai An

Source: Theses.fr

Subject Terms: Apprentissage automatique, Programmation DC et DCA, Optimisation non-convexe, Apprentissage en profondeur, Apprentissage non supervisé, Classification supervisée, Machine Learning, DC Programming and DCA, Non-convex optimization, Deep Learning, Clustering, Classification, envir, info

Relation: 10670/1.8rg6us; http://www.theses.fr/2019LORR0255/document

Availability: http://www.theses.fr/2019LORR0255/document

Weak Convexity and Approximate Subdifferentials.

Authors: van Ackooij, Wim Atenas, Felipe Sagastizábal, Claudia

Source: Journal of Optimization Theory & Applications; Nov2024, Vol. 203 Issue 2, p1686-1709, 24p

Subject Terms: VARIATIONAL principles, SUBDIFFERENTIALS, CONVEX sets, ALGORITHMS, ARGUMENT

RIP analysis for the weighted ℓr-ℓ1 minimization method.

Authors: Zhou, Zhiyong^1,2 (AUTHOR) zhiyongzhou@zucc.edu.cn

Source: Signal Processing. Jan2023, Vol. 202, pN.PAG-N.PAG. 1p.

Subject Terms: *RESTRICTED isometry property, *CONVEX functions

A Preconditioned Difference of Convex Algorithm for Truncated Quadratic Regularization with Application to Imaging.

Authors: Deng, Shengxiang Sun, Hongpeng

Source: Journal of Scientific Computing; Aug2021, Vol. 88 Issue 2, p1-28, 28p

Stochastic multi-class support vector machine based on regular simplex.

Authors: Mohammadi, Tara Jabbari, Hadi Effati, Sohrab

Source: Communications in Statistics: Case Studies & Data Analysis; 2025, Vol. 11 Issue 4, p513-548, 36p

Subject Terms: SUPPORT vector machines, STOCHASTIC processes, STOCHASTIC models, MONTE Carlo method, STATISTICAL models, SIMPLEX algorithm, MEASUREMENT errors

Preconditioned Algorithm for Difference of Convex Functions with applications to Graph Ginzburg-Landau Model

Authors: Shen, Xinhua Sun, Hongpeng Tai, Xuecheng

Index Terms: Mathematics - Numerical Analysis, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2303.14495

Announcement: Howard Rosenbrock Prize 2024.

Authors: Ulbrich, Michael

Source: Optimization & Engineering; Dec2025, Vol. 26 Issue 4, p2307-2309, 3p

Sparse recovery based on the generalized error function

Authors: Zhou, Zhiyong

Index Terms: Mathematics - Numerical Analysis, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2105.13189

Stochastic DCA with Variance Reduction and Applications in Machine Learning.

Authors: Hoai An Le Thi Hoang Phuc Hau Luu Hoai Minh Le et al.

Source: Journal of Machine Learning Research. 2022, Vol. 23, p1-44. 44p.

Subject Terms: *MACHINE learning, *PRINCIPAL components analysis, *LOGISTIC regression analysis