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Generalized Matrix Factorization: efficient algorithms for fitting
  generalized linear latent variable models to large data arrays

Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays

6 October 2020
L. Kidzinski
Francis K. C. Hui
D. Warton
Trevor Hastie
ArXivPDFHTML

Papers citing "Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays"

4 / 4 papers shown
Title
Reweighted Solutions for Weighted Low Rank Approximation
Reweighted Solutions for Weighted Low Rank Approximation
David P. Woodruff
T. Yasuda
42
1
0
04 Jun 2024
Efficient Alternating Minimization with Applications to Weighted Low
  Rank Approximation
Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation
Zhao-quan Song
Mingquan Ye
Junze Yin
Licheng Zhang
24
7
0
07 Jun 2023
Sparse estimation via nonconcave penalized likelihood in a factor
  analysis model
Sparse estimation via nonconcave penalized likelihood in a factor analysis model
K. Hirose
Michio Yamamoto
46
81
0
26 May 2012
An algorithm for the principal component analysis of large data sets
An algorithm for the principal component analysis of large data sets
N. Halko
P. Martinsson
Y. Shkolnisky
M. Tygert
68
277
0
30 Jul 2010
1