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Optimization

Tensor Decomposition With Generalized Lasso Penalties

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Pages 537-546 | Received 01 Dec 2015, Published online: 11 Apr 2017

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Read on this site (3)

Yujia Deng, Xiwei Tang & Annie Qu. (2023) Correlation Tensor Decomposition and Its Application in Spatial Imaging Data. Journal of the American Statistical Association 118:541, pages 440-456.
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Jie Zhou, Will Wei Sun, Jingfei Zhang & Lexin Li. (2023) Partially Observed Dynamic Tensor Response Regression. Journal of the American Statistical Association 118:541, pages 424-439.
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Will Wei Sun & Lexin Li. (2019) Dynamic Tensor Clustering. Journal of the American Statistical Association 114:528, pages 1894-1907.
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Articles from other publishers (12)

Xuanming Zhang, Fei Huang, Francis K.C. Hui & Steven Haberman. (2023) Cause-of-death mortality forecasting using adaptive penalized tensor decompositions. Insurance: Mathematics and Economics 111, pages 193-213.
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Xianpeng Mao & Yuning Yang. (2023) Practical approximation algorithms for $${\ell}_1$$-regularized sparse rank-1 approximation to higher-order tensors. Optimization Letters.
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Yue Shi & Chi Tim Ng. (2022) A new active zero set descent algorithm for least absolute deviation with generalized LASSO penalty. Journal of the Korean Statistical Society 52:1, pages 83-109.
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Xianpeng Mao & Yuning Yang. (2022) Best sparse rank-1 approximation to higher-order tensors via a truncated exponential induced regularizer. Applied Mathematics and Computation 433, pages 127433.
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Jun-Gi Jang, Moonjeong Park, Jongwuk Lee & Lee Sael. (2022) Large-scale tucker Tensor factorization for sparse and accurate decomposition. The Journal of Supercomputing 78:16, pages 17992-18022.
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Xianpeng Mao & Yuning Yang. (2022) Several approximation algorithms for sparse best rank-1 approximation to higher-order tensors. Journal of Global Optimization 84:1, pages 229-253.
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Xuan Bi, Xiwei Tang, Yubai Yuan, Yanqing Zhang & Annie Qu. (2021) Tensors in Statistics. Annual Review of Statistics and Its Application 8:1, pages 345-368.
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Moonjeong Park, Jun-Gi Jang & Lee Sael. (2021) VEST: Very Sparse Tucker Factorization of Large-Scale Tensors. VEST: Very Sparse Tucker Factorization of Large-Scale Tensors.
Bethany Lusch, Eric C. Chi & J. Nathan Kutz. (2019) Shape Constrained Tensor Decompositions. Shape Constrained Tensor Decompositions.
Alnur Ali & Ryan J. Tibshirani. (2019) The Generalized Lasso Problem and Uniqueness. Electronic Journal of Statistics 13:2.
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Nirav Mistry, Sudeep Tanwar, Sudhanshu Tyagi & Pradeep Kr Singh. (2018) Tensor Decomposition of Biometric Data using Singular Value Decomposition. Tensor Decomposition of Biometric Data using Singular Value Decomposition.
Xuanming Zhang, Fei Huang, Francis Hui & Steven Haberman. (2021) Cause-of-Death Mortality Forecasting Using Adaptive Penalized Tensor Decompositions. SSRN Electronic Journal.
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