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Publication search results
found 14 matches
- 2022
- Kim Thang Nguyen, Abhinav Srivastav, Denis Trystram, Paul Youssef:
A stochastic conditional gradient algorithm for decentralized online convex optimization. J. Parallel Distributed Comput. 169: 334-351 (2022) - Gizen Mutlu, Çigdem Inan Aci:
SVM-SMO-SGD: A hybrid-parallel support vector machine algorithm using sequential minimal optimization with stochastic gradient descent. Parallel Comput. 113: 102955 (2022) - Wen Qin, Xin Luo:
An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Shared-Memory. ICKG 2022: 217-224 - 2018
- Keyang Cheng, Fei Tao:
A Stochastic Parallel Gradient Descent Algorithm for Person Re-identification*. VCIP 2018: 1-5 - Rui Zhu, Di Niu:
A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems. CoRR abs/1810.09270 (2018) - 2017
- Umut Simsekli, Alain Durmus, Roland Badeau, Gaël Richard, Eric Moulines, A. Taylan Cemgil:
Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization. ICASSP 2017: 2242-2246 - Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu:
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. NIPS 2017: 5330-5340 - Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu:
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. CoRR abs/1705.09056 (2017) - 2015
- Janis Keuper, Franz-Josef Pfreundt:
Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms. MLHPC@SC 2015: 1:1-1:11 - Janis Keuper, Franz-Josef Pfreundt:
Asynchronous Parallel Stochastic Gradient Descent - A Numeric Core for Scalable Distributed Machine Learning Algorithms. CoRR abs/1505.04956 (2015) - 2014
- Thanh-Nghi Do:
Parallel multiclass stochastic gradient descent algorithms for classifying million images with very-high-dimensional signatures into thousands classes. Vietnam. J. Comput. Sci. 1(2): 107-115 (2014) - Haijun Zhao, Jing Zhang, Zhiping Yin:
Adaptive beamforming based on stochastic parallel gradient descent algorithm for single receiver phased array. ICSAI 2014: 849-853 - 2013
- Benjamin Recht, Christopher Ré:
Parallel stochastic gradient algorithms for large-scale matrix completion. Math. Program. Comput. 5(2): 201-226 (2013) - 1996
- Jeroen Dehaene, Marc Moonen, Joos Vandewalle:
An improved fully parallel stochastic gradient algorithm for subspace tracking. EUSIPCO 1996: 1-4
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