Výsledky vyhľadávania - Stochastic majorization–minimization algorithm

Stochastic Variance-Reduced Majorization-Minimization Algorithms

Autori: Phan, Duy-Nhat Bartz, Sedi Guha, Nilabja a ďalší

Zdroj: SIAM Journal on Mathematics of Data Science. 6:926-952

Predmety: 90C26, 65K05, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Mathematics - Optimization and Control

Prístupová URL adresa: http://arxiv.org/abs/2305.06848

SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm

Autori: Chouzenoux, Emilie Fest, Jean-Baptiste

Prispievatelia: Chouzenoux, Emilie Fest, Jean-Baptiste

Zdroj: Journal of Optimization Theory and Applications

Predmety: Stochastic optimization, binary logistic regression, 0202 electrical engineering, electronic engineering, information engineering, subspace acceleration, 02 engineering and technology, image reconstruction, convergence analysis, Majorization-Minimization, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-03793623v1

Convergence analysis of stochastic higher-order majorization–minimization algorithms

Autori: Lupu, Daniela Necoara, Ion

Zdroj: Optimization Methods and Software. 39:384-413

Predmety: Optimization and Control (math.OC), 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 02 engineering and technology, Mathematics - Optimization and Control

Prístupová URL adresa: http://arxiv.org/abs/2103.07984

Stochastic Variance-Reduced Majorization-Minimization Algorithms

Autori: Phan, Duy-Nhat Bartz, Sedi Guha, Nilabja a ďalší

Témy: Mathematics - Optimization and Control, Mathematics - Numerical Analysis, 90C26, 65K05, text

URL: http://arxiv.org/abs/2305.06848

Stochastic Majorize-Minimize Subspace Algorithm with Application to Binary Classification

Autori: Fest, Jean-Baptiste Chouzenoux, Emilie

Prispievatelia: Fest, Jean-Baptiste Chouzenoux, Emilie

Zdroj: 2021 29th European Signal Processing Conference (EUSIPCO)

Predmety: Stochastic optimization, binary logistic regression, 0211 other engineering and technologies, subspace acceleration, 02 engineering and technology, Majorization-Minimization, convergence analysis, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.inria.fr/hal-03275377/file/S3MG_EUSIPCO.pdf
https://inria.hal.science/hal-03275377v1

Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates.

Autori: Hanbaek Lyu¹ HLYU@MATH.WISC.EDU

Zdroj: Journal of Machine Learning Research. Jan-Dec2024, Vol. 25, p1-83. 83p.

Predmety: *OPTIMIZATION algorithms, *STOCHASTIC convergence, *DEEP learning, *ONLINE education, *FACTORIZATION

Convergence analysis of stochastic higher-order majorization–minimization algorithms.

Autori: Lupu, Daniela Necoara, Ion

Zdroj: Optimization Methods & Software; Apr2024, Vol. 39 Issue 2, p384-413, 30p

Predmety: STOCHASTIC analysis, STOCHASTIC convergence, NONSMOOTH optimization, SMOOTHNESS of functions, ERROR functions, ALGORITHMS

Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization

Autori: Mairal, Julien C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger

Prispievatelia: Mairal, Julien C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger

Predmety: majorization-minimization, FOS: Computer and information sciences, Computer Science - Machine Learning, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Machine Learning (stat.ML), [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], 02 engineering and technology, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG), surrogate functions, Statistics - Machine Learning, Optimization and Control (math.OC), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, optimization, Mathematics - Optimization and Control

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/1306.4650
https://inria.hal.science/hal-00835840v2
https://inria.hal.science/hal-00835840v2/document

A Systematic Approach to General Higher-Order Majorization-Minimization Algorithms for (Non)convex Optimization.

Autori: Necoara, Ion Lupu, Daniela

Zdroj: SIAM Journal on Optimization; 2025, Vol. 35 Issue 4, p2372-2401, 30p

Predmety: MATHEMATICAL optimization, OPTIMIZATION algorithms, APPROXIMATION theory, LIPSCHITZ continuity, NONCONVEX programming, SURROGATE-based optimization

Stream-suitable optimization algorithms for some soft-margin support vector machine variants

Autori: Hien D. Nguyen Andrew T. Jones Geoffrey J. McLachlan

Zdroj: Japanese Journal of Statistics and Data Science. 1:81-108

Predmety: Streamed data, Support vector machines, BigData, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, Stochastic majorization–minimization algorithm, 01 natural sciences

Prístupová URL adresa: https://core.ac.uk/display/157825593
https://espace.library.uq.edu.au/view/UQ:729087
https://link.springer.com/article/10.1007%2Fs42081-018-0001-y

A Stochastic 3Mg Algorithm With Application To 2D Filter Identification

Autori: Chouzenoux, Emilie Pesquet, Jean-Christophe Florescu, Anisia

Prispievatelia: Chouzenoux, Emilie Pesquet, Jean-Christophe Florescu, Anisia

Predmety: majorization-minimization, sparsity, 0211 other engineering and technologies, 02 engineering and technology, machine learning, Newton method, filter identification, adaptive filtering, stochastic approximation, 0202 electrical engineering, electronic engineering, information engineering, memory gradient methods, descent methods, subspace algorithms, recursive algorithms, optimization, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.archives-ouvertes.fr/hal-01077261
https://hal.archives-ouvertes.fr/hal-01077261/document
https://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6952577
https://zenodo.org/record/44156/files/1569925521.pdf
https://hal.science/hal-01077261v1

RIS-Aided mmWave Transmission: A Stochastic Majorization-Minimization Approach

Autori: Kezhi Wang Kok Keong Chai Hong Ren a ďalší

Zdroj: ICC 2021 - IEEE International Conference on Communications. :1-6

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://researchportal.northumbria.ac.uk/en/publications/ris-aided-mmwave-transmission-a-stochastic-majorization-minimizat
https://dblp.uni-trier.de/db/conf/icc/icc2021.html#ZhouPRWC21
https://ieeexplore.ieee.org/document/9500268

Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates

Autori: Lyu, Hanbaek

Témy: Mathematics - Optimization and Control, Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2201.01652

Sequential Sample Average Majorization–Minimization.

Autori: Fort, Gersende Forbes, Florence Nguyen, Hien Duy

Zdroj: Statistics & Computing; Feb2026, Vol. 36 Issue 1, p1-28, 28p

Stochastic majorization-minimization algorithms for large-scale optimization

Autori: Julien Mairal C. J. C. Burges L. Bottou a ďalší

Prispievatelia: Julien Mairal C. J. C. Burges L. Bottou a ďalší

Zdroj: https://hal.inria.fr/file/index/docid/860268/filename/main_with_appendices.pdf.

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.688.3920

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.688.3920

Tensor decompositions for count data that leverage stochastic and deterministic optimization.

Autori: Myers, Jeremy M. Dunlavy, Daniel M.

Zdroj: Optimization Methods & Software; Apr2025, Vol. 40 Issue 2, p352-387, 36p

Predmety: DETERMINISTIC algorithms, MAXIMUM likelihood statistics, MATRIX decomposition, LOW-rank matrices, POISSON regression

A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion.

Autori: Liu, Xiaoqian Han, Xu Chi, Eric C. a ďalší

Zdroj: Journal of Computational & Graphical Statistics; Jul-Sep2025, Vol. 34 Issue 3, p1017-1029, 13p

Predmety: GAUSS-Newton method, LOW-rank matrices, SCIENTIFIC observation, FACTORIZATION, MATHEMATICAL optimization, OPTIMIZATION algorithms

BLOCK MAJORIZATION-MINIMIZATION WITH DIMINISHING RADIUS FOR CONSTRAINED NONSMOOTH NONCONVEX ΟΡΤΙΜΙΖATION*.

Autori: LYUT, HANBAEK LI, YUCHEN

Zdroj: SIAM Journal on Optimization; 2025, Vol. 35 Issue 2, p842-871, 30p

Predmety: CONSTRAINED optimization, OPTIMIZATION algorithms, APPROXIMATION theory, MATHEMATICAL optimization, ITERATIVE methods (Mathematics), ASYMPTOTIC analysis

A dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems.

Autori: Lin, Gui-Hua Yang, Zhen-Ping Yin, Hai-An a ďalší

Zdroj: Computational Optimization & Applications; Nov2023, Vol. 86 Issue 2, p669-710, 42p

Predmety: NONSMOOTH optimization, STOCHASTIC approximation, NEWTON-Raphson method, ALGORITHMS, POINT set theory, STOCHASTIC programming

Stochastic algorithms with geometric step decay converge linearly on sharp functions.

Autori: Davis, Damek Drusvyatskiy, Dmitriy Charisopoulos, Vasileios

Zdroj: Mathematical Programming; Sep2024, Vol. 207 Issue 1/2, p145-190, 46p

Predmety: CONVEX domains, CONVEX sets, CONVEX functions, ALGORITHMS, PROBABILITY theory