Search Results - Doubly stochastic gradient algorithm

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

Authors: Shen, Zebang Qian, Hui Mu, Tongzhou et al.

Index Terms: Computer Science - Machine Learning, text

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

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

Authors: Hui Qian Tongzhou Mu Chao Zhang et al.

Source: Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. :2715-2721

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG)

Access URL: https://www.ijcai.org/proceedings/2017/0378.pdf
http://arxiv.org/abs/2304.11665
https://www.ijcai.org/Proceedings/2017/378
https://dblp.uni-trier.de/db/conf/ijcai/ijcai2017.html#ShenQMZ17

Pseudo-gradient algorithm for identification of doubly stochastic cylindrical image model.

Authors: Krasheninnikov, Victor Kuvayskova, Yuliya Subbotin, Alexey

Source: Procedia Computer Science. 2020, Vol. 176, p1858-1867. 10p.

Subject Terms: Algorithms, Autoregressive models, Image processing, Radio technology, Medical equipment

Scalable Kernel Ordinal Regression via Doubly Stochastic Gradients.

Authors: Gu, Bin Geng, Xiang Li, Xiang et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Aug2021, Vol. 32 Issue 8, p3677-3689, 13p

Subject Terms: ALGORITHMS, HILBERT space, STOCHASTIC approximation, MACHINE learning, RATE setting

A new large-scale learning algorithm for generalized additive models

Authors: Gu, Bin Zhang, Chenkang Huo, Zhouyuan et al.

Source: Machine Learning Faculty Publications

Subject Terms: Additive model, Doubly stochastic gradient, Wrapper algorithm, Artificial Intelligence and Robotics, Computer Sciences

Relation: https://dclibrary.mbzuai.ac.ae/mlfp/413

Availability: https://dclibrary.mbzuai.ac.ae/mlfp/413
https://doi.org/10.1007/s10994-023-06339-4

泛在电力物联网下用户侧分布式电源 P2P 优化调度研究.

Alternate Title: Research On P2P Optimal Scheduling of User Side Distributed Generation Under Ubiquitous Power Internet of Things.

Authors: 肖 勇 喻 洁 张新森 et al.

Source: Applied Mathematics & Mechanics (1000-0887). Dec2020, Vol. 41 Issue 12, p1358-1368. 11p.

Subject Terms: *STOCHASTIC matrices, *DISTRIBUTED algorithms, *INTERNET of things, *TELECOMMUNICATION, *SCHEDULING, *PEER-to-peer architecture (Computer networks), *MIMO systems, *ELECTRON tube grids, *MACHINE-to-machine communications

Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm.

Authors: Yuan, Deming Ho, Daniel W. C. Xu, Shengyuan

Source: IEEE Transactions on Neural Networks & Learning Systems; Jun2021, Vol. 32 Issue 6, p2344-2357, 14p

Subject Terms: ALGORITHMS, MULTIAGENT systems, APPROXIMATION algorithms, STOCHASTIC processes, LINEAR programming

Learning Deep Generative Models With Doubly Stochastic Gradient MCMC.

Authors: Du, Chao Zhu, Jun Zhang, Bo

Source: IEEE Transactions on Neural Networks & Learning Systems; Jul2018, Vol. 29 Issue 7, p3084-3096, 13p

Subject Terms: MACHINE learning, DOUBLY stochastic Poisson processes, MEAN field theory

The identification of doubly stochastic circular image model.

Authors: Krasheninnikov, Victor Malenova, Olga Subbotin, Alexey

Source: Procedia Computer Science. 2020, Vol. 176, p1839-1847. 9p.

Subject Terms: Autoregressive models, Random fields, Tree trunks, Image processing, Thin films

Scaling Up Generalized Kernel Methods.

Authors: Gu, Bin Dang, Zhiyuan Huo, Zhouyuan et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Jul2022, Vol. 44 Issue 7, p3767-3778, 12p

Subject Terms: PARALLEL algorithms, ASYNCHRONOUS learning, BIG data, ACQUISITION of data, STOCHASTIC processes

Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients.

Authors: Dang, Zhiyuan Li, Xiang Gu, Bin et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Mar2022, Vol. 44 Issue 3, p1385-1398, 14p

Subject Terms: KERNEL functions, MACHINE learning, NONLINEAR equations, SCALABILITY, APPROXIMATION algorithms

New Scalable and Efficient Online Pairwise Learning Algorithm

Authors: Bin Gu Runxue Bao Chenkang Zhang et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 35:17099-17110

Access URL: https://pubmed.ncbi.nlm.nih.gov/37656641

Dualityfree Methods for Stochastic Composition Optimization.

Authors: Liu, Liu Liu, Ji Tao, Dacheng

Source: IEEE Transactions on Neural Networks & Learning Systems; Apr2019, Vol. 30 Issue 4, p1205-1217, 13p

Subject Terms: REINFORCEMENT learning, STATISTICAL learning, MACHINE learning, CONJUGATE gradient methods, EMBEDDINGS (Mathematics), ARTIFICIAL intelligence, ALGORITHMS

Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum.

Authors: Ilboudo, Wendyam Eric Lionel Kobayashi, Taisuke Sugimoto, Kenji

Source: IEEE Transactions on Neural Networks & Learning Systems; Mar2022, Vol. 33 Issue 3, p1324-1337, 14p

Subject Terms: INHERITANCE & succession, REINFORCEMENT learning, DEEP learning, MACHINE learning, NOISE measurement

Stochastic gradient descent for hybrid quantum-classical optimization

Authors: Ryan Sweke Frederik Wilde Johannes Meyer et al.

Source: Quantum, Vol 4, p 314 (2020)

Subject Terms: Physics, QC1-999

File Description: electronic resource

Relation: https://quantum-journal.org/papers/q-2020-08-31-314/pdf/; https://doaj.org/toc/2521-327X

Access URL: https://doaj.org/article/cb8b58b168e94cdda835675b3fd77378

Fast Distributed Gradient Methods.

Authors: Jakovetic, Dusan Xavier, Joao Moura, Jose M. F.

Source: IEEE Transactions on Automatic Control; May2014, Vol. 59 Issue 5, p1131-1146, 16p

Subject Terms: STOCHASTIC convergence, VECTOR analysis, ITERATIVE methods (Mathematics), MATHEMATICAL optimization, COMPUTER simulation, LIPSCHITZ spaces

DISTRIBUTED EXTENDED STOCHASTIC GRADIENT ALGORITHM FOR JOINT IDENTIFICATION OF SYSTEM PARAMETERS AND NOISE MODEL PARAMETERS.

Authors: DIE GAN REN YAN SHUNING CHEN et al.

Source: SIAM Journal on Control & Optimization; 2025, Vol. 63 Issue 1, p650-675, 26p

Subject Terms: STOCHASTIC systems, SYSTEM identification, SENSOR networks, DYNAMICAL systems, STOCHASTIC models, DISTRIBUTED algorithms

Accelerated Doubly Stochastic Gradient Descent for Tensor CP Decomposition.

Authors: Wang, Qingsong Cui, Chunfeng Han, Deren

Source: Journal of Optimization Theory & Applications; May2023, Vol. 197 Issue 2, p665-704, 40p

Subject Terms: ALGORITHMS

Multi-index antithetic stochastic gradient algorithm.

Authors: Majka, Mateusz B. Sabate-Vidales, Marc Szpruch, Łukasz

Source: Statistics & Computing; Apr2023, Vol. 33 Issue 2, p1-37, 37p

Learning the N-Input Parity Function with a Single-Qubit and Single-Measurement Sampling.

Authors: Tsili, Antonia Maragkopoulos, Georgios Mandilara, Aikaterini et al.

Source: Electronics (2079-9292); Mar2025, Vol. 14 Issue 5, p901, 13p

Subject Terms: DENSITY matrices, MACHINE learning, QUBITS, GENERALIZATION, SIMPLICITY