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Distributed Estimation for Principal Component Analysis: an Enlarged
  Eigenspace Analysis

Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis

5 April 2020
Xi Chen
J. Lee
He Li
Yun Yang
ArXivPDFHTML

Papers citing "Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis"

4 / 4 papers shown
Title
Personalized PCA: Decoupling Shared and Unique Features
Personalized PCA: Decoupling Shared and Unique Features
Naichen Shi
Raed Al Kontar
30
14
0
17 Jul 2022
Federated singular value decomposition for high dimensional data
Federated singular value decomposition for high dimensional data
Anne Hartebrodt
Richard Rottger
David B. Blumenthal
FedML
24
11
0
24 May 2022
Distributed Bootstrap for Simultaneous Inference Under High
  Dimensionality
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
35
10
0
19 Feb 2021
First-order Newton-type Estimator for Distributed Estimation and
  Inference
First-order Newton-type Estimator for Distributed Estimation and Inference
Xi Chen
Weidong Liu
Yichen Zhang
30
48
0
28 Nov 2018
1