Practical Efficiency of Asynchronous Stochastic Gradient Descent

2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC) ◽

10.1109/mlhpc.2016.010 ◽

2016 ◽

Cited By ~ 2

Author(s):

Onkar Bhardwaj ◽

Guojing Cong

Keyword(s):

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent

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Linear Support Vector Machine (SVM) with Stochastic Gradient Descent (SGD) training and multinomial Nave Bayes (NB) in News Classification

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i4.360363 ◽

2019 ◽

Vol 7 (4) ◽

pp. 360-363

Author(s):

Feroz Ahmed ◽

Shabina Ghafir

Keyword(s):

Support Vector Machine ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Support Vector ◽

Linear Support Vector Machine

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Stochastic gradient descent training for L1-regularized log-linear models with cumulative penalty

Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - ACL-IJCNLP '09 ◽

10.3115/1687878.1687946 ◽

2009 ◽

Cited By ~ 45

Author(s):

Yoshimasa Tsuruoka ◽

Jun'ichi Tsujii ◽

Sophia Ananiadou

Keyword(s):

Gradient Descent ◽

Linear Models ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Log Linear

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Drivetrain System Identification in a Multi-Task Learning Strategy using Partial Asynchronous Elastic Averaging Stochastic Gradient Descent

2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) ◽

10.1109/aim43001.2020.9158977 ◽

2020 ◽

Author(s):

Tom Staessens ◽

Guillaume Crevecoeur

Keyword(s):

System Identification ◽

Gradient Descent ◽

Learning Strategy ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Task Learning

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Optimized directed roadmap graph for multi-agent path finding using stochastic gradient descent

Proceedings of the 35th Annual ACM Symposium on Applied Computing ◽

10.1145/3341105.3373916 ◽

2020 ◽

Author(s):

Christian Henkel ◽

Marc Toussaint

Keyword(s):

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Path Finding ◽

Multi Agent

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Enhanced Stochastic Gradient Descent with Backward Queried Data for Online Learning

2020 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) ◽

10.1109/icmlant50963.2020.9355978 ◽

2020 ◽

Author(s):

Gio Huh

Keyword(s):

Online Learning ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent

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Learning Rates for Stochastic Gradient Descent with Nonconvex Objectives

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2021.3068154 ◽

2021 ◽

pp. 1-1

Author(s):

Yunwen Lei ◽

Ke Tang

Keyword(s):

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Learning Rates

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High Performance Parallel Stochastic Gradient Descent in Shared Memory

2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS) ◽

10.1109/ipdps.2016.107 ◽

2016 ◽

Cited By ~ 8

Author(s):

Scott Sallinen ◽

Nadathur Satish ◽

Mikhail Smelyanskiy ◽

Samantika S. Sury ◽

Christopher Re

Keyword(s):

Shared Memory ◽

Gradient Descent ◽

High Performance ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Parallel Stochastic Gradient Descent

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Text Categorization by Multi-instance Multi-label and Momentum Stochastic Gradient Descent Strategy

2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence ◽

10.1145/3446132.3446158 ◽

2020 ◽

Author(s):

Xiang Bao ◽

Guifeng Liu ◽

Manrong Wang

Keyword(s):

Gradient Descent ◽

Text Categorization ◽

Stochastic Gradient ◽

Stochastic Gradient Descent

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Soft-Sign Stochastic Gradient Descent Algorithm for Wireless Federated Learning

10.1109/spawc51858.2021.9593212 ◽

2021 ◽

Author(s):

Seunghoon Lee ◽

Chanho Park ◽

Songnam Hong ◽

Yonina C. Eldar ◽

Namyoon Lee

Keyword(s):

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Descent Algorithm ◽

Gradient Descent Algorithm

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Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods

Neural Computing and Applications ◽

10.1007/s00521-021-06550-1 ◽

2021 ◽

Author(s):

Saeed Samadianfard ◽

Katayoun Kargar ◽

Sadra Shadkani ◽

Sajjad Hashemi ◽

Akram Abbaspour ◽

...

Keyword(s):

Genetic Algorithm ◽

Random Forest ◽

Suspended Sediment ◽

Gradient Descent ◽

Hybrid Models ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Descent Methods ◽

Multi Layer Perceptron ◽

Gradient Descent Methods

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