Pyglrm

Pyglrm is a python package for modeling and fitting generalized low rank models (GLRMs), based on the Julia package LowRankModels.jl. GLRMs model a data array by a low rank matrix, and include many well known models in data analysis, such as principal components analysis (PCA), matrix completion, robust PCA, nonnegative matrix factorization, k-means, and many more.


References in zbMATH (referenced in 18 articles , 1 standard article )

Showing results 1 to 18 of 18.
Sorted by year (citations)

  1. Bossmann, Florian; Ma, Jianwei: Enhanced image approximation using shifted rank-1 reconstruction (2020)
  2. Hong, David; Kolda, Tamara G.; Duersch, Jed A.: Generalized canonical polyadic tensor decomposition (2020)
  3. Li, Xinrong; Xiu, Naihua; Zhou, Shenglong: Matrix optimization over low-rank spectral sets: stationary points and local and global minimizers (2020)
  4. Alaya, Mokhtar Z.; Klopp, Olga: Collective matrix completion (2019)
  5. Bai, Jushan; Ng, Serena: Rank regularized estimation of approximate factor models (2019)
  6. Balcan, Maria-Florina; Liang, Yingyu; Song, Zhao; Woodruff, David P.; Zhang, Hongyang: Non-convex matrix completion and related problems via strong duality (2019)
  7. Daneshmand, Amir; Sun, Ying; Scutari, Gesualdo; Facchinei, Francisco; Sadler, Brian M.: Decentralized dictionary learning over time-varying digraphs (2019)
  8. Driggs, Derek; Becker, Stephen; Aravkin, Aleksandr: Adapting regularized low-rank models for parallel architectures (2019)
  9. Gillis, Nicolas; Shitov, Yaroslav: Low-rank matrix approximation in the infinity norm (2019)
  10. Fithian, William; Mazumder, Rahul: Flexible low-rank statistical modeling with missing data and side information (2018)
  11. Liu, Lydia T.; Dobriban, Edgar; Singer, Amit: (e)PCA: high dimensional exponential family PCA (2018)
  12. Luo, Chongliang; Liang, Jian; Li, Gen; Wang, Fei; Zhang, Changshui; Dey, Dipak K.; Chen, Kun: Leveraging mixed and incomplete outcomes via reduced-rank modeling (2018)
  13. Yang, Lei; Pong, Ting Kei; Chen, Xiaojun: A nonmonotone alternating updating method for a class of matrix factorization problems (2018)
  14. Bigot, Jérémie; Deledalle, Charles; Féral, Delphine: Generalized SURE for optimal shrinkage of singular values in low-rank matrix denoising (2017)
  15. Dutta, Aritra; Li, Xin: On a problem of weighted low-rank approximation of matrices (2017)
  16. Fithian, William; Josse, Julie: Multiple correspondence analysis and the multilogit bilinear model (2017)
  17. Josse, Julie; Wager, Stefan: Bootstrap-based regularization for low-rank matrix estimation (2016)
  18. Udell, Madeleine; Horn, Corinne; Zadeh, Reza; Boyd, Stephen: Generalized low rank models (2016)