Výsledky vyhledávání - "Doubly stochastic gradient algorithm"

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

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

Autoři: Hui Qian Tongzhou Mu Chao Zhang a další

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

Témata: 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)

Přístupová URL adresa: 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

A new large-scale learning algorithm for generalized additive models.

Autoři: Gu, Bin Zhang, Chenkang Huo, Zhouyuan a další

Zdroj: Machine Learning; Sep2023, Vol. 112 Issue 9, p3077-3104, 28p

Témata: MACHINE learning, OPTIMIZATION algorithms, ADDITIVES, WRAPPERS, SAMPLE size (Statistics)

New Scalable and Efficient Online Pairwise Learning Algorithm

Autoři: Bin Gu Runxue Bao Chenkang Zhang a další

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

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37656641

Online variational Gaussian process for time series data.

Autoři: Wang, Weidong Khalil, Mian Muhammad Yasir Bayisa, Leta Yobsan

Zdroj: Journal of Big Data; 12/18/2024, Vol. 11 Issue 1, p1-49, 49p

Témata: GAUSSIAN processes, MATHEMATICAL statistics, ARTIFICIAL intelligence, TIME series analysis, SPARSE approximations

Asynchronous Parallel Large-Scale Gaussian Process Regression

Autoři: Zhiyuan Dang Bin Gu Cheng Deng a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 35:8683-8694

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38587955

AUC Maximization in the Era of Big Data and AI: A Survey.

Autoři: TIANBAO YANG YIMING YING

Zdroj: ACM Computing Surveys; Aug2023, Vol. 55 Issue 8, p1-37, 37p

Témata: BIG data, DEEP learning, ARTIFICIAL intelligence, RECEIVER operating characteristic curves, PROBLEM solving, PREDICTION models

Faster doubly stochastic functional gradient by gradient preconditioning for scalable kernel methods.

Autoři: Zhang, Zhuan Zhou, Shuisheng Yang, Ting a další

Zdroj: Applied Intelligence; May2022, Vol. 52 Issue 7, p7091-7112, 22p

Témata: MATRIX inversion, RANDOM matrices, COVARIANCE matrices, LOGISTIC regression analysis, SUPPORT vector machines, KERNEL functions, MACHINE learning, HESSIAN matrices

Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy

Autoři: Zhouyuan Huo Bin Gu Heng Huang

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 33:3697-3704

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Přístupová URL adresa: https://www.aaai.org/ojs/index.php/AAAI/article/download/4254/4132
https://ojs.aaai.org/index.php/AAAI/article/view/4254
https://dblp.uni-trier.de/db/conf/aaai/aaai2019.html#GuHH19
https://ojs.aaai.org/index.php/AAAI/article/download/4254/4132
https://www.aaai.org/ojs/index.php/AAAI/article/view/4254
https://doi.org/10.1609/aaai.v33i01.33013697

A Randomized Block-Coordinate Adam online learning optimization algorithm.

Autoři: Zhou, Yangfan Zhang, Mingchuan Zhu, Junlong a další

Zdroj: Neural Computing & Applications; Aug2020, Vol. 32 Issue 16, p12671-12684, 14p

Témata: MATHEMATICAL optimization, MACHINE learning, ONLINE education, REINFORCEMENT learning, DEEP learning, TIME perspective

SAAGs: Biased stochastic variance reduction methods for large-scale learning.

Autoři: Chauhan, Vinod Kumar Sharma, Anuj Dahiya, Kalpana

Zdroj: Applied Intelligence; Sep2019, Vol. 49 Issue 9, p3331-3361, 31p

Témata: STOCHASTIC approximation, VARIANCES, STATISTICAL smoothing, POINT set theory, STOCHASTIC analysis

Large-scale 3D scene reconstruction with Hilbert Maps.

Autoři: Guizilini, Vitor Ramos, Fabio

Zdroj: 2016 IEEE/RSJ International Conference on Intelligent Robots & Systems (IROS); 2016, p3247-3254, 8p

Stochastic Optimization for Large-scale Machine Learning

Autoři: Vinod Kumar Chauhan

Resource Type: eBook.

Témata: Mathematical optimization, Stochastic processes, Machine learning--Statistical methods, Big data

Categories: COMPUTERS / Data Science / Machine Learning, BUSINESS & ECONOMICS / Operations Research, COMPUTERS / General, COMPUTERS / Programming / Games, COMPUTERS / Computer Science, COMPUTERS / Machine Theory, COMPUTERS / Computer Engineering, MATHEMATICS / Arithmetic, MATHEMATICS / Optimization

Federated doubly stochastic kernel learning on vertical partitioned data

FEDERATED DOUBLY STOCHASTIC KERNEL LEARNING ON VERTICAL PARTITIONED DATA