Výsledky vyhledávání - "stochastic variance-reduced algorithm"

A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates

Autoři: Zhou, Kaiwen Shang, Fanhua Cheng, James

Témata: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1806.11027

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization

Autoři: Pan Zhou Xiao-Tong Yuan Zhouchen Lin a další

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:5933-5946

Témata: Precondition, Artificial Intelligence and Robotics, Convex Optimization, Theory and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Stochastic Variance-Reduced Algorithm, 02 engineering and technology, 01 natural sciences, Online Convex Optimization, 0105 earth and related environmental sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34101583
https://www.computer.org/csdl/journal/tp/5555/01/09448388/1ugE3BTixLq
https://europepmc.org/article/MED/34101583
https://ieeexplore.ieee.org/document/9448388/

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds

Autoři: Pan Zhou Xiao-Tong Yuan Shuicheng Yan a další

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43:459-472

Témata: Theory and Algorithms, Riemannian Optimization, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Stochastic Variance-Reduced Algorithm, Non-convex Optimization, 02 engineering and technology, Online Lear

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/pdf/1811.08109
https://pubmed.ncbi.nlm.nih.gov/31398110
https://www.ncbi.nlm.nih.gov/pubmed/31398110
https://xplqa30.ieee.org/document/8792163/media
https://dblp.uni-trier.de/db/journals/pami/pami43.html#ZhouYYF21
https://ieeexplore.ieee.org/document/8792163
https://www.computer.org/csdl/journal/tp/2021/02/08792163/1ckpmRtpfi0
https://doi.org/10.1109/TPAMI.2019.2933841

SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning

Autoři: Sun, Jingruo Frangella, Zachary Udell, Madeleine

Témata: Statistics - Machine Learning, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2501.15941

Stochastic Polyak stepsize for SGD with variance reduction and momentum.

Autoři: Liu, Chenchen Huang, Yakui

Zdroj: Optimization Letters; Nov2025, Vol. 19 Issue 8, p1601-1624, 24p

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

Sine and cosine based learning rate for gradient descent method: Sine and cosine based learning rate for gradient descent method: K. Verma and A. Maiti.

Autoři: Verma, Krutika Maiti, Abyayananda

Zdroj: Applied Intelligence; Apr2025, Vol. 55 Issue 5, p1-28, 28p

Accelerated Stochastic Variance Reduction Gradient Algorithms for Robust Subspace Clustering.

Autoři: Liu, Hongying Yang, Linlin Zhang, Longge a další

Zdroj: Sensors (14248220); Jun2024, Vol. 24 Issue 11, p3659, 16p

Témata: PIXELS, ALGORITHMS, COMPUTATIONAL complexity, SECURITY systems

An aggressive reduction on the complexity of optimization for non-strongly convex objectives.

Autoři: Luo, Zhijian Chen, Siyu Hou, Yueen a další

Zdroj: International Journal of Wavelets, Multiresolution & Information Processing; Sep2023, Vol. 21 Issue 5, p1-16, 16p

Témata: REGULARIZATION parameter, LOGISTIC regression analysis, MACHINE learning, LOGARITHMS, ALGORITHMS

Variance-reduction for Variational Inequality Problems with Bregman Distance Function

Autoři: Alizadeh, Zeinab Hamedani, Erfan Yazdandoost Jalilzadeh, Afrooz

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

Přístupová URL adresa: http://arxiv.org/abs/2405.10735

Accelerated Stochastic Variance Reduction for a Class of Convex Optimization Problems.

Autoři: He, Lulu Ye, Jimin Jianwei, E.

Zdroj: Journal of Optimization Theory & Applications; Mar2023, Vol. 196 Issue 3, p810-828, 19p

Témata: ALGORITHMS

Variance reduction for root-finding problems.

Autoři: Davis, Damek

Zdroj: Mathematical Programming; Jan2023, Vol. 197 Issue 1, p375-410, 36p

Témata: NONLINEAR operators, MONOTONE operators, CONVEX functions, MACHINE learning

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.

Autoři: Zhou, Pan Yuan, Xiao-Tong Lin, Zhouchen a další

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Oct2022, Vol. 44 Issue 10, p5933-5946, 14p

Témata: LOGISTIC regression analysis, GENERALIZATION, PROBLEM solving, LEAST squares, ALGORITHMS

Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations

Autoři: Saikiran Bulusu Prashant Khanduri Swatantra Kafle a další

Zdroj: IEEE Transactions on Signal and Information Processing over Networks. 7:754-766

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

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9622173/authors
https://dblp.uni-trier.de/db/journals/corr/corr1912.html#abs-1912-04531

Oracle Complexity Separation in Convex Optimization.

Autoři: Ivanova, Anastasiya Dvurechensky, Pavel Vorontsova, Evgeniya a další

Zdroj: Journal of Optimization Theory & Applications; Jun2022, Vol. 193 Issue 1-3, p462-490, 29p

Témata: ARITHMETIC, DESIRE, MOTIVATION (Psychology)

A hybrid stochastic optimization framework for composite nonconvex optimization.

Autoři: Tran-Dinh, Quoc Pham, Nhan H. Phan, Dzung T. a další

Zdroj: Mathematical Programming; Feb2022, Vol. 191 Issue 2, p1005-1071, 67p

Témata: CONJUGATE gradient methods, LITERATURE

Korporace: ORACLE Corp.

Accelerating variance-reduced stochastic gradient methods.

Autoři: Driggs, Derek Ehrhardt, Matthias J. Schönlieb, Carola-Bibiane

Zdroj: Mathematical Programming; Feb2022, Vol. 191 Issue 2, p671-715, 45p

Témata: ALGORITHMS

Forward-reflected-backward method with variance reduction.

Autoři: Alacaoglu, Ahmet Malitsky, Yura Cevher, Volkan

Zdroj: Computational Optimization & Applications; Nov2021, Vol. 80 Issue 2, p321-346, 26p

Témata: ALGORITHMS, VARIATIONAL inequalities (Mathematics)

Acceleration Methods.

Autoři: d'Aspremont, Alexandre Scieur, Damien Taylor, Adrien

Zdroj: Foundations & Trends in Optimization; 2021, Vol. 5 Issue 1/2, p1-245, 245p

Differentially Private ADMM Algorithms for Machine Learning.

Autoři: Shang, Fanhua Xu, Tao Liu, Yuanyuan a další

Zdroj: IEEE Transactions on Information Forensics & Security; 2021, Vol. 16, p4733-4745, 13p