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The Expected Norm of a Sum of Independent Random Matrices: An Elementary
  Approach

The Expected Norm of a Sum of Independent Random Matrices: An Elementary Approach

15 June 2015
J. Tropp
ArXivPDFHTML

Papers citing "The Expected Norm of a Sum of Independent Random Matrices: An Elementary Approach"

7 / 7 papers shown
Title
Exact spectral norm error of sample covariance
Exact spectral norm error of sample covariance
Q. Han
24
7
0
27 Jul 2022
GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid
  Instruments
GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments
T. Ye
Zhonghua Liu
Baoluo Sun
E. T. Tchetgen
36
19
0
13 Jul 2021
On Monte-Carlo methods in convex stochastic optimization
On Monte-Carlo methods in convex stochastic optimization
Daniel Bartl
S. Mendelson
25
8
0
19 Jan 2021
On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type
  Matrix
On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type Matrix
T. Tony Cai
Rungang Han
Anru R. Zhang
42
15
0
28 Aug 2020
DeltaGrad: Rapid retraining of machine learning models
DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu
Yan Sun
S. Davidson
MU
25
197
0
26 Jun 2020
Regression adjustment in completely randomized experiments with a
  diverging number of covariates
Regression adjustment in completely randomized experiments with a diverging number of covariates
Lihua Lei
Peng Ding
32
48
0
20 Jun 2018
Universality laws for randomized dimension reduction, with applications
Universality laws for randomized dimension reduction, with applications
Samet Oymak
J. Tropp
52
109
0
30 Nov 2015
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