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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"

7 / 7 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
34
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
15
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
21
44
0
26 Jun 2019
Wald Statistics in high-dimensional PCA
Wald Statistics in high-dimensional PCA
Matthias Loffler
12
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
38
99
0
26 Feb 2018
1