Výsledky vyhledávání - stochastic variance-reduced algorithm

Single-Loop Variance-Reduced Stochastic Algorithm for Nonconvex-Concave Minimax Optimization

Autoři: Jiang, Xia Zhu, Linglingzhi Zheng, Taoli a další

Zdroj: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Témata: Optimization and Control (math.OC), FOS: Mathematics

A variance‐reduced distributed stochastic momentum algorithm over directed networks

Autoři: Xiuhui Gong Juan Gao Xinwei Liu

Zdroj: Asian Journal of Control.

Stochastic Variance-Reduced Majorization-Minimization Algorithms

Autoři: Phan, Duy-Nhat Bartz, Sedi Guha, Nilabja a další

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

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

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

Convergence of a stochastic variance reduced Levenberg–Marquardt method: Convergence of a stochastic variance reduced Levenberg-Marquardt method

Autoři: Shao, Weiyi Fan, Jinyan

Zdroj: Computational Optimization and Applications. 90:417-444

Témata: least squares problems, Numerical mathematical programming methods, Nonlinear programming, variance reduced method, Mathematical programming, stochastic Levenberg-Marquardt algorithm, empirical residual optimization problem, mini-batch estimation

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/8015914
https://doi.org/10.1007/s10589-024-00639-8

Improved Rates for Stochastic Variance-Reduced Difference-of-Convex Algorithms

Autoři: Nguyen, Anh Duc Yurtsever, Alp Sra, Suvrit a další

Témata: Optimization and Control (math.OC), Optimization and Control, FOS: Mathematics

Přístupová URL adresa: http://arxiv.org/abs/2509.11657

A Structured Proximal Stochastic Variance Reduced Zeroth-order Algorithm

Autoři: Rando, Marco Traoré, Cheik Molinari, Cesare a další

Témata: 90C56 (Primary) 90C15, 90C25, 90C30 (Secondary), Optimization and Control (math.OC), Optimization and Control, G.1.6, FOS: Mathematics

Přístupová URL adresa: http://arxiv.org/abs/2506.23758

Population-based variance-reduced evolution over stochastic landscapes.

Autoři: Pei, Zelin He, Xiaoyu Pan, Yi a další

Zdroj: Scientific Reports. 10/7/2025, Vol. 15 Issue 1, p1-12. 12p.

Témata: *EVOLUTIONARY algorithms, *MATHEMATICAL optimization, *STOCHASTIC programming, *STATISTICAL smoothing, *ASYMPTOTIC expansions

A variance-reduced stochastic gradient tracking algorithm for decentralized optimization with orthogonality constraints

Autoři: Wang, Lei Liu, Xin

Zdroj: Journal of Industrial and Management Optimization. 19:7753-7776

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, 0211 other engineering and technologies, Machine Learning (stat.ML), 02 engineering and technology, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Machine Learning (cs.LG), Statistics - Machine Learning, Optimization and Control (math.OC), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2208.13643

A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data

Autoři: Nazanin Shajoonnezhad Amin Nikanjam

Zdroj: International Journal of Machine Learning and Cybernetics. 14:947-958

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, 0101 mathematics, 01 natural sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2108.09501

Alternating Stochastic Variance-Reduced Algorithms with Optimal Complexity for Bilevel Optimization

Autoři: Huo, Haimei Su, Zhixun

Témata: Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

Přístupová URL adresa: http://arxiv.org/abs/2404.11377

Stochastic variance-reduced prox-linear algorithms for nonconvex composite optimization

Autoři: Junyu Zhang Lin Xiao

Zdroj: Mathematical Programming. 195:649-691

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

Přístupová URL adresa: http://arxiv.org/pdf/2004.04357
http://arxiv.org/abs/2004.04357
http://ui.adsabs.harvard.edu/abs/2020arXiv200404357Z/abstract
https://www.microsoft.com/en-us/research/publication/stochastic-variance-reduced-prox-linear-algorithms-for-nonconvex-composite-optimization/
https://link.springer.com/article/10.1007/s10107-021-01709-z
https://www.arxiv-vanity.com/papers/2004.04357/

Stochastic Variance Reduced Primal–Dual Hybrid Gradient Methods for Saddle-Point Problems.

Autoři: An, Weixin Liu, Yuanyuan Shang, Fanhua a další

Zdroj: Mathematics (2227-7390). May2025, Vol. 13 Issue 10, p1687. 44p.

Témata: *MACHINE learning, *ALGORITHMS, *MOTIVATION (Psychology), *COST

SARAH-Based Variance-Reduced Algorithm for Stochastic Finite-Sum Cocoercive Variational Inequalities

Autoři: Beznosikov, Aleksandr Gasnikov, Alexander

Zdroj: Springer Optimization and Its Applications ISBN: 9783031316531

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 02 engineering and technology, Mathematics - Optimization and Control, 01 natural sciences, 0105 earth and related environmental sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2210.05994

Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models.

Autoři: Sidrow, Evan Heckman, Nancy Bouchard-Côté, Alexandre a další

Zdroj: Journal of Computational & Graphical Statistics. Jan-Mar2025, Vol. 34 Issue 1, p222-238. 17p.

Témata: *OPTIMIZATION algorithms, *HIDDEN Markov models, *EXPECTATION-maximization algorithms, *MAXIMUM likelihood statistics, *MARKOV processes

Stochastic Variance-Reduced Majorization-Minimization Algorithms

Autoři: Phan, Duy-Nhat Bartz, Sedi Guha, Nilabja a další

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

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

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning

Autoři: Zhang, Jiaojiao Liu, Huikang So, Anthony Man-Cho a další

Zdroj: IEEE Transactions on Signal Processing. 71:311-326

Témata: Costs, Convergence, Signal processing algorithms, Approximation algorithms, Cost function, Newton method, Computational complexity, Decentralized optimization, stochastic quasi-Newton methods, variance reduction, damped limited-memory DFP, damped limited-memory BFGS

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325198

Federated Learning with Proximal Stochastic Variance Reduced Gradient Algorithms

Autoři: Albert Y. Zomaya Nguyen H. Tran Tuan Dung Nguyen a další

Zdroj: 49th International Conference on Parallel Processing - ICPP. :1-11

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

Přístupová URL adresa: https://dl.acm.org/doi/pdf/10.1145/3404397.3404457
https://dblp.uni-trier.de/db/conf/icpp/icpp2020.html#DinhTNBZZ20
https://doi.org/10.1145/3404397.3404457

Mean square error analysis of stochastic gradient and variance-reduced sampling algorithms

Autoři: Lu, Jianfeng Ye, Xuda Zhou, Zhennan

Témata: Numerical Analysis, 65C30, 60H35, 62F15

Relation: http://arxiv.org/abs/2511.04413

Dostupnost: http://arxiv.org/abs/2511.04413

Riemannian Stochastic Variance Reduced Gradient Algorithm with Retraction and Vector Transport

Autoři: Hiroyuki Sato Hiroyuki Kasai Bamdev Mishra

Zdroj: SIAM Journal on Optimization. 29:1444-1472

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/1702.05594
https://waseda.pure.elsevier.com/en/publications/riemannian-stochastic-variance-reduced-gradient-algorithm-with-re
https://epubs.siam.org/doi/10.1137/17M1116787
https://doi.org/10.1137/17M1116787
https://dblp.uni-trier.de/db/journals/siamjo/siamjo29.html#SatoKM19
https://ui.adsabs.harvard.edu/abs/2017arXiv170205594S/abstract
https://arxiv.org/pdf/1702.05594.pdf
https://arxiv.org/abs/1702.05594

Variance Reduced Stochastic Proximal Algorithm for AUC Maximization

Autoři: Soham Dan Dushyant Sahoo

Zdroj: Lecture Notes in Computer Science ISBN: 9783030865221

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, 0101 mathematics, 01 natural sciences, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/pdf/1911.03548
http://arxiv.org/abs/1911.03548
https://dblp.uni-trier.de/db/journals/corr/corr1911.html#abs-1911-03548
https://link.springer.com/chapter/10.1007/978-3-030-86523-8_12
https://rd.springer.com/chapter/10.1007/978-3-030-86523-8_12