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sJIVE: Supervised Joint and Individual Variation Explained

sJIVE: Supervised Joint and Individual Variation Explained

26 February 2021
E. Palzer
C. Wendt
R. Bowler
C. Hersh
S. Safo
E. Lock
    DRL
ArXiv (abs)PDFHTML

Papers citing "sJIVE: Supervised Joint and Individual Variation Explained"

3 / 3 papers shown
Title
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Yang Sui
Qi Xu
Y. Bai
Annie Qu
43
2
0
30 May 2025
Bayesian Joint Additive Factor Models for Multiview Learning
Bayesian Joint Additive Factor Models for Multiview Learning
Niccolò Anceschi
F. Ferrari
David B. Dunson
Himel Mallick
105
2
0
02 Jun 2024
Scalable Randomized Kernel Methods for Multiview Data Integration and
  Prediction
Scalable Randomized Kernel Methods for Multiview Data Integration and Prediction
S. Safo
Han Lu
23
2
0
10 Apr 2023
1