Machine Learning

[1] A geometric view of optimal transportation and generative model

Na Lei Dalian University of Technology Kehua Su Wuhan University Li Cui Beijing Normal University Shing-Tung Yau Harvard University Xianfeng Gu Stony Brook University

Computational Geometry Convex and Discrete Geometry Machine Learning TBD mathscidoc:1905.09001

Computer Aided Geometric Design, 68, 1-21, 2019.1
[ Download ] [ 2019-05-04 22:18:06 uploaded by ranier ] [ 1412 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[2] New region force for variational models in image segmentation and high dimensional data clustering

Ke Wei University of California, Davis Ke Yin Huazhong University of Science and Technology Xue-Cheng Tai University of Bergen, Norway Tony F. Chan Hong Kong University of Science and Technology

Machine Learning mathscidoc:1704.41001

[ Download ] [ 2017-04-26 23:54:13 uploaded by inkyinke ] [ 1005 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[3] Block stochastic gradient iteration for convex and nonconvex optimization

Yangyang Xu University of Alabama Wotao Yin UCLA

Optimization and Control Machine Learning mathscidoc:1703.27001

SIAM Journal on Optimization, 25, (3), 1686-1716, 2015
[ Download ] [ 2017-03-14 09:23:24 uploaded by yangyangxu ] [ 722 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[4] ARock: an Algorithmic Framework for Asynchronous Parallel Coordinate Updates

Zhimin Peng UCLA Yangyang Xu University of Alabama Ming Yan Michigan State University Wotao Yin UCLA

Numerical Analysis and Scientific Computing Optimization and Control Machine Learning mathscidoc:1703.25022

SIAM Journal on Scientific Computing, 38, (5), A2851-A2879, 2016
[ Download ] [ 2017-03-14 09:40:35 uploaded by yangyangxu ] [ 703 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[5] Coordinate-friendly structures, algorithms and applications

Zhimin Peng UCLA Tianyu Wu UCLA Yangyang Xu University of Alabama Ming Yan Michigan State University Wotao Yin UCLA

Numerical Analysis and Scientific Computing Optimization and Control Machine Learning mathscidoc:1703.25025

Annals of Mathematical Sciences and Applications, 1, (1), 57 – 119, 2016
[ Download ] [ 2017-03-14 10:03:19 uploaded by mingyan08 ] [ 678 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[6] On Global Linear Convergence in Stochastic Nonconvex Optimization for Semidefinite Programming

Jinshan Zeng Jiangxi Normal University Ke Ma Institute of Information Engineering, Chinese Academy of Sciences Yuan Yao Hong Kong University of Science and Technology

Machine Learning mathscidoc:2004.41002

Distinguished Paper Award in 2020

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 67, (16), 4261-4275, 2019.8
[ Download ] [ 2020-04-27 09:53:32 uploaded by JinshanZeng ] [ 641 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[7] Financial Signal Processing and Machine Learning

Ali N Akansu Jianqing Fan Dmitry M Malioutov

Machine Learning mathscidoc:1912.43395

2016.5
[ Download ] [ 2019-12-21 11:41:44 uploaded by Jianqing_Fan ] [ 602 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[8] Transport information geometry I: Riemannian calculus on probability simplex

Wuchen Li UCLA

Differential Geometry Information Theory Mathematical Physics Machine Learning mathscidoc:2004.19001

arXiv:1803.06360, 2018.3
[ Download ] [ 2020-04-27 01:36:35 uploaded by lwc2017 ] [ 582 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[9] Deep Neural Networks with Data Dependent Implicit Activation Function

Bao Wang UCLA Xiyang Luo UCLA Zhen Li Tsinghua University Wei Zhu Duke University Zuoqiang Shi Tsinghua University Stanley Osher UCLA

Machine Learning mathscidoc:1803.41001

[ Download ] [ 2018-03-20 20:27:32 uploaded by shizqi ] [ 573 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[10] Constructive Neural Network Learning

Shaobo Lin Wenzhou University Jinshan Zeng Jiangxi Normal University Xiaoqin Zhang Wenzhou University

Machine Learning mathscidoc:1903.41001

IEEE Transactions on Cybernetics, 49, (1), 2019.1
[ Download ] [ 2019-03-19 20:25:11 uploaded by JinshanZeng ] [ 503 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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