Výsledky vyhledávání - Mini-batch gradient algorithm~

A Mini-Batch Proximal Stochastic Recursive Gradient Algorithm with Diagonal Barzilai–Borwein Stepsize

Autoři: Yu, T.T. Liu, X.W. Dai, Y.H. a další

Zdroj: Journal of the Operations Research Society of China. 11:277-307

Témata: 0211 other engineering and technologies, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Popis souboru: fulltext

A mini-batch stochastic conjugate gradient algorithm with variance reduction

Autoři: Caixia Kou Han Yang

Zdroj: Journal of Global Optimization. 87:1009-1025

Témata: 0209 industrial biotechnology, 0211 other engineering and technologies, 02 engineering and technology

Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks

Autoři: Ying Zhang Huisheng Zhang Dongpo Xu a další

Zdroj: Neurocomputing. 407:185-193

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

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0925231220307591
https://dblp.uni-trier.de/db/journals/ijon/ijon407.html#ZhangZZX20
https://doi.org/10.1016/j.neucom.2020.04.114

A variable metric mini-batch proximal stochastic recursive gradient algorithm with diagonal Barzilai-Borwein stepsize

Autoři: Yu, Tengteng Liu, Xin-Wei Dai, Yu-Hong a další

Témata: Mathematics - Optimization and Control, Computer Science - Machine Learning, Mathematics - Numerical Analysis, text

URL: http://arxiv.org/abs/2010.00817

Line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance

Autoři: Giorgia Franchini Federica Porta Valeria Ruggiero a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031812408

Témata: adaptive hyper-parameter setting, deep learning, line search strategy, machine learning, stochastic gradient methods, variance condition, adaptive hyper-parameter setting, deep learning, line search strategy, machine learning, stochastic gradient methods, variance condition

Přístupová URL adresa: https://hdl.handle.net/11392/2580170
https://doi.org/10.1007/978-3-031-81241-5_7

Multi-Pass Sequential Mini-Batch Stochastic Gradient Descent Algorithms for Noise Covariance Estimation in Adaptive Kalman Filtering

Autoři: Hee-Seung Kim Lingyi Zhang Adam Bienkowski a další

Zdroj: IEEE Access. 9

Témata: Earth Resources and Remote Sensing

Přístupová URL adresa: https://ntrs.nasa.gov/citations/20230017116

A mini-batch stochastic conjugate gradient algorithm with variance reduction.

Autoři: Kou, Caixia Yang, Han

Zdroj: Journal of Global Optimization; Nov2023, Vol. 87 Issue 2-4, p1009-1025, 17p

Témata: INFORMATION storage & retrieval systems, CONJUGATE gradient methods, ALGORITHMS, CONVEX functions, ONLINE algorithms

Efficient Reduction of Variances in Stochastic Spectral Conjugate Gradient Algorithm.

Autoři: YIMER, SEIFU ENDRIS KUMAM, POOM CHAIPUNYA, PARIN

Zdroj: Carpathian Journal of Mathematics; 2025, Vol. 41 Issue 3, p849-862, 14p

Témata: CONVEX functions, CONJUGATE gradient methods, NONLINEAR equations, MACHINE learning, ALGORITHMS, GENERALIZATION

A stochastic recursive gradient algorithm integrating momentum and the powerball function with adaptive step sizes.

Autoři: Qin, Chuandong Cai, Zilin Guo, Yuhang

Zdroj: International Journal of Machine Learning & Cybernetics; Aug2025, Vol. 16 Issue 7/8, p4367-4387, 21p

CONVERGENCE ANALYSIS OF A PROXIMAL STOCHASTIC GRADIENT ALGORITHM WITH ADAPTIVE SAMPLING FOR NON-CONVEX AND NON-SMOOTH COMPOSITE OPTIMIZATION PROBLEMS.

Autoři: MENGXIANG ZHANG SHENGJIE LI

Zdroj: Journal of Nonlinear & Variational Analysis; 2025, Vol. 9 Issue 4, p569-598, 30p

Témata: ADAPTIVE sampling (Statistics), NONCONVEX programming, CONSTRAINED optimization, NUMERICAL calculations, NONSMOOTH optimization, MATHEMATICAL functions, STOCHASTIC convergence

Better Mini-Batch Algorithms via Accelerated Gradient Methods

Autoři: Cotter, Andrew Shamir, Ohad Srebro, Nathan a další

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1106.4574

Automatic setting of learning rate and mini-batch size in momentum and AdaM stochastic gradient methods.

Autoři: Franchini, Giorgia Porta, Federica

Zdroj: AIP Conference Proceedings; 2024, Vol. 3094 Issue 1, p1-4, 4p

Témata: RATE setting, CONVEX functions, MACHINE learning, STOCHASTIC learning models

Provable training of a ReLU gate with an iterative non-gradient algorithm

Autoři: Sayar Karmakar Anirbit Mukherjee

Zdroj: Mukherjee, A & Karmakar, S 2022, ' Provable training of a ReLU gate with an iterative non-gradient algorithm ', Neural Networks, vol. 151, pp. 264-275 . https://doi.org/10.1016/j.neunet.2022.03.040

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, non-gradient iterative algorithms, Computer Science - Information Theory, Information Theory (cs.IT), Neural nets, Learning and adaptive systems in artificial intelligence, Machine Learning (stat.ML), Nonconvex programming, global optimization, Non-smooth non-convex optimization, Machine Learning (cs.LG), neural nets, stochastic algorithms, Stochastic algorithms, Statistics - Machine Learning, 90C15 68W40 68T05, Computer Simulation, Non-gradient iterative algorithms, non-smooth nonconvex optimization, stochastic optimisation, Algorithms

Popis souboru: application/xml

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35452894
http://arxiv.org/abs/2005.04211
https://zbmath.org/7751320
https://doi.org/10.1016/j.neunet.2022.03.040
https://research.manchester.ac.uk/en/publications/a4916933-2661-45bd-8486-535ced443d0d
https://doi.org/10.1016/j.neunet.2022.03.040
https://arxiv.org/abs/2005.04211
https://research.manchester.ac.uk/en/publications/a4916933-2661-45bd-8486-535ced443d0d
https://doi.org/10.1016/j.neunet.2022.03.040

Design of Robust Adaptive Nonlinear Backstepping Controller Enhanced by Deep Deterministic Policy Gradient Algorithm for Efficient Power Converter Regulation.

Autoři: Ghamari, Seyyed Morteza Aziz, Asma Ghahramani, Mehrdad

Zdroj: Energies (19961073); Sep2025, Vol. 18 Issue 18, p4941, 27p

Témata: ADAPTIVE control systems, REINFORCEMENT learning, GREY Wolf Optimizer algorithm, NONLINEAR systems, STABILITY (Mechanics), CONVERTERS (Electronics), HARDWARE-in-the-loop simulation

Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization

Autoři: Shen, Zebang Qian, Hui Mu, Tongzhou a další

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2304.11665

Zeroth-order Proximal Clipped Gradient Method with Shifts for Distributed Stochastic Composite Optimization Problems with Infinite Variance.

Autoři: Yang, Zhen-Ping Chen, Pin-Bo Zhao, Yong a další

Zdroj: Journal of Scientific Computing; Nov2025, Vol. 105 Issue 2, p1-62, 62p

基于渐近式 k-means 聚类的多行动者确定性策略梯度算法. (Chinese)

Alternate Title: Multi-actor Deterministic Policy Gradient Algorithm Based on Progressive k-Means Clustering. (English)

Autoři: 刘全 刘晓松 吴光军 a další

Zdroj: Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban); May2025, Vol. 63 Issue 3, p885-894, 10p

Témata: REINFORCEMENT learning, CONTINUOUS performance test, DEEP reinforcement learning, K-means clustering, ALGORITHMS, DECISION making

Gradient-descent methods for fast quantum state tomography

Autoři: Gaikwad, Akshay Torres, Manuel Sebastian Ahmed, Shahnawaz a další

Zdroj: Kvantsimulering och kvantkommunikation med stora atomer Open Superconducting Quantum Computers (OpenSuperQPlus) Quantum Science and Technology. 10(4)

Témata: gradient descent optimization, density matrix parameterization, quantum state tomography

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/548723
https://research.chalmers.se/publication/548723/file/548723_Fulltext.pdf

An intelligent MIMO run-to-run controller for semiconductor manufacturing processes based on an enhanced twin-delayed deep deterministic policy gradient algorithm.

Autoři: Ma, Zhu Chen, Yonglin Pan, Tianhong

Zdroj: Applied Intelligence; Jul2025, Vol. 55 Issue 10, p1-25, 25p

Témata: DEEP reinforcement learning, REINFORCEMENT learning, ARTIFICIAL intelligence, MANUFACTURING processes, INTELLIGENT control systems, SEMICONDUCTOR manufacturing

A Mini-Batch Proximal Stochastic Recursive Gradient Algorithm with Diagonal Barzilai–Borwein Stepsize.

Autoři: Yu, Teng-Teng Liu, Xin-Wei Dai, Yu-Hong a další

Zdroj: Journal of the Operations Research Society of China; Jun2023, Vol. 11 Issue 2, p277-307, 31p