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SOFAR: large-scale association network learning

SOFAR: large-scale association network learning

26 April 2017
Yoshimasa Uematsu
Yingying Fan
Kun Chen
Jinchi Lv
Wei Lin
    CML
ArXiv (abs)PDFHTML

Papers citing "SOFAR: large-scale association network learning"

9 / 9 papers shown
Row-wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenarios
Row-wise Fusion Regularization: An Interpretable Personalized Federated Learning Framework in Large-Scale Scenarios
Runlin Zhou
Letian Li
Zemin Zheng
FedML
145
0
0
16 Oct 2025
Simultaneous Best Subset Selection and Dimension Reduction via
  Primal-Dual Iterations
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations
Canhong Wen
Ruipeng Dong
Xueqin Wang
Weiyu Li
Heping Zhang
263
0
0
29 Nov 2022
A Large Confirmatory Dynamic Factor Model for Stock Market Returns in
  Different Time Zones
A Large Confirmatory Dynamic Factor Model for Stock Market Returns in Different Time ZonesJournal of Econometrics (JE), 2022
O. Linton
Haihan Tang
Jianbin Wu
AIFin
428
0
0
08 Feb 2022
Parallel integrative learning for large-scale multi-response regression
  with incomplete outcomes
Parallel integrative learning for large-scale multi-response regression with incomplete outcomesComputational Statistics & Data Analysis (CSDA), 2021
Ruipeng Dong
Daoji Li
Zemin Zheng
227
6
0
11 Apr 2021
Estimation of Conditional Mean Operator under the Bandable Covariance
  Structure
Estimation of Conditional Mean Operator under the Bandable Covariance StructureElectronic Journal of Statistics (EJS), 2021
Kwangmin Lee
Kyoungjae Lee
Jaeyong Lee
133
3
0
11 Mar 2021
Generalized Co-sparse Factor Regression
Generalized Co-sparse Factor Regression
Aditya Mishra
D. Dey
Yong Chen
Kun Chen
179
7
0
16 Oct 2020
Scalable Interpretable Learning for Multi-Response Error-in-Variables
  Regression
Scalable Interpretable Learning for Multi-Response Error-in-Variables Regression
J. Wu
Z. Zheng
Jian Wang
Yuhui Zhang
175
4
0
11 May 2020
Statistically Guided Divide-and-Conquer for Sparse Factorization of
  Large Matrix
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
Kun Chen
Ruipeng Dong
Wanwan Xu
Zemin Zheng
CML
175
2
0
17 Mar 2020
Recovery of simultaneous low rank and two-way sparse coefficient
  matrices, a nonconvex approach
Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach
Ming Yu
Varun Gupta
Mladen Kolar
257
24
0
20 Feb 2018
1
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