Adjusted Stochastic Gradient Descent for Latent Factor Analysis

Information Sciences ◽

10.1016/j.ins.2021.12.065 ◽

2021 ◽

Author(s):

Qing Li ◽

Diwen Xiong ◽

Mingsheng Shang

Keyword(s):

Factor Analysis ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

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Large-scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems

IEEE Transactions on Big Data ◽

10.1109/tbdata.2020.2973141 ◽

2020 ◽

pp. 1-1 ◽

Author(s):

Xiaoyu Shi ◽

Qiang He ◽

Xin Luo ◽

Yannai Bai ◽

Mingsheng Shang

Keyword(s):

Factor Analysis ◽

Recommender Systems ◽

Gradient Descent ◽

Large Scale ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

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Adaptive Alternating Stochastic Gradient Descent Algorithms for Large-Scale Latent Factor Analysis

10.1109/scc53864.2021.00041 ◽

2021 ◽

Author(s):

Wen Qin ◽

Xin Luo ◽

MengChu Zhou

Keyword(s):

Factor Analysis ◽

Gradient Descent ◽

Large Scale ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Latent Factor ◽

Descent Algorithms

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A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model

Neurocomputing ◽

10.1016/j.neucom.2020.11.029 ◽

2021 ◽

Vol 427 ◽

pp. 29-39

Author(s):

Jinli Li ◽

Ye Yuan ◽

Tao Ruan ◽

Jia Chen ◽

Xin Luo

Keyword(s):

Factor Analysis ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Proportional Integral Derivative ◽

Analysis Model ◽

Latent Factor ◽

Factor Analysis Model ◽

Proportional Integral

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A Parallelized, Momentum-incorporated Stochastic Gradient Descent Scheme for Latent Factor Analysis on High-dimensional and Sparse Matrices from Recommender Systems

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) ◽

10.1109/smc.2019.8914671 ◽

2019 ◽

Author(s):

Wen Qin ◽

Hao Wu ◽

Qingkuan Lai ◽

Chaobin Wang

Keyword(s):

Factor Analysis ◽

Recommender Systems ◽

Gradient Descent ◽

Sparse Matrices ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

High Dimensional ◽

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A Momentum-incorporated Fast Parallelized Stochastic Gradient Descent for Latent Factor Model in Shared Memory Systems

2020 IEEE International Conference on Networking, Sensing and Control (ICNSC) ◽

10.1109/icnsc48988.2020.9238077 ◽

2020 ◽

Author(s):

Hang Gou ◽

Jinli Li ◽

Wen Qin ◽

Chunlin He ◽

Yurong Zhong ◽

...

Keyword(s):

Shared Memory ◽

Gradient Descent ◽

Factor Model ◽

Memory Systems ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Latent Factor ◽

Latent Factor Model

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A Nonlinear Proportional Integral Derivative-Incorporated Stochastic Gradient Descent-based Latent Factor Model

2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc42975.2020.9283344 ◽

2020 ◽

Author(s):

Jinli Li ◽

Ye Yuan

Keyword(s):

Gradient Descent ◽

Factor Model ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Proportional Integral Derivative ◽

Latent Factor ◽

Proportional Integral ◽

Latent Factor Model

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Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-Based Recommender Systems

IEEE Robotics and Automation Letters ◽

10.1109/lra.2019.2891986 ◽

2019 ◽

Vol 4 (2) ◽

pp. 618-624 ◽

Author(s):

Xin Luo ◽

MengChu Zhou

Keyword(s):

Recommender Systems ◽

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Latent Factor ◽

Descent Algorithms

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Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2018.2884191 ◽

2019 ◽

pp. 1-11 ◽

Author(s):

Xin Luo ◽

Dexian Wang ◽

MengChu Zhou ◽

Huaqiang Yuan

Keyword(s):

Gradient Descent ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Latent Factor ◽

Descent Algorithms

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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 ◽

Author(s):

Yoshimasa Tsuruoka ◽

Jun'ichi Tsujii ◽

Sophia Ananiadou

Keyword(s):

Gradient Descent ◽

Linear Models ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

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