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. 1107.5481
  4. Cited By
Accuracy of empirical projections of high-dimensional Gaussian matrices
v1v2v3v4v5v6v7 (latest)

Accuracy of empirical projections of high-dimensional Gaussian matrices

27 July 2011
Angelika Rohde
ArXiv (abs)PDFHTML

Papers citing "Accuracy of empirical projections of high-dimensional Gaussian matrices"

5 / 5 papers shown
Title
Von Neumann Entropy Penalization and Low Rank Matrix Estimation
Von Neumann Entropy Penalization and Low Rank Matrix Estimation
V. Koltchinskii
151
101
0
13 Sep 2010
Optimal selection of reduced rank estimators of high-dimensional
  matrices
Optimal selection of reduced rank estimators of high-dimensional matrices
F. Bunea
Yiyuan She
M. Wegkamp
241
241
0
18 Apr 2010
Estimation of high-dimensional low-rank matrices
Estimation of high-dimensional low-rank matrices
Angelika Rohde
Alexandre B. Tsybakov
264
382
0
29 Dec 2009
Estimation of (near) low-rank matrices with noise and high-dimensional
  scaling
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S. Negahban
Martin J. Wainwright
232
570
0
27 Dec 2009
A Bernstein-type inequality for stochastic processes of quadratic forms
  of Gaussian variables
A Bernstein-type inequality for stochastic processes of quadratic forms of Gaussian variables
Ikhlef Bechar
83
132
0
19 Sep 2009
1