ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1609.03779
  4. Cited By
Non-asymptotic upper bounds for the reconstruction error of PCA

Non-asymptotic upper bounds for the reconstruction error of PCA

13 September 2016
M. Reiß
Martin Wahl
ArXivPDFHTML

Papers citing "Non-asymptotic upper bounds for the reconstruction error of PCA"

10 / 10 papers shown
Title
Meta Reinforcement Learning with Finite Training Tasks -- a Density
  Estimation Approach
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach
Zohar Rimon
Aviv Tamar
Gilad Adler
OOD
OffRL
41
8
0
21 Jun 2022
Tangent Space and Dimension Estimation with the Wasserstein Distance
Tangent Space and Dimension Estimation with the Wasserstein Distance
Uzu Lim
Harald Oberhauser
Vidit Nanda
44
8
0
12 Oct 2021
Inference on the maximal rank of time-varying covariance matrices using
  high-frequency data
Inference on the maximal rank of time-varying covariance matrices using high-frequency data
M. Reiß
Lars Winkelmann
24
4
0
01 Oct 2021
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
Zihang Meng
Rudrasis Chakraborty
Vikas Singh
9
9
0
08 Jun 2021
Principal Component Analysis for Multivariate Extremes
Principal Component Analysis for Multivariate Extremes
H. Drees
Anne Sabourin
28
44
0
26 Jun 2019
A note on the prediction error of principal component regression
A note on the prediction error of principal component regression
Yana B. Feygin
29
6
0
07 Nov 2018
Wald Statistics in high-dimensional PCA
Wald Statistics in high-dimensional PCA
Matthias Loffler
23
1
0
10 May 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds
Averaging Stochastic Gradient Descent on Riemannian Manifolds
Nilesh Tripuraneni
Nicolas Flammarion
Francis R. Bach
Michael I. Jordan
49
99
0
26 Feb 2018
Asymptotically Efficient Estimation of Smooth Functionals of Covariance
  Operators
Asymptotically Efficient Estimation of Smooth Functionals of Covariance Operators
V. Koltchinskii
34
30
0
25 Oct 2017
Distributed Estimation of Principal Eigenspaces
Distributed Estimation of Principal Eigenspaces
Jianqing Fan
Dong Wang
Kaizheng Wang
Ziwei Zhu
19
160
0
21 Feb 2017
1