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Uniform Hanson-Wright type concentration inequalities for unbounded
  entries via the entropy method
v1v2 (latest)

Uniform Hanson-Wright type concentration inequalities for unbounded entries via the entropy method

9 December 2018
Yegor Klochkov
Nikita Zhivotovskiy
ArXiv (abs)PDFHTML

Papers citing "Uniform Hanson-Wright type concentration inequalities for unbounded entries via the entropy method"

12 / 12 papers shown
Title
Optimal Transport with Heterogeneously Missing Data
Linus Bleistein
Aurélien Bellet
Julie Josse
OT
76
0
0
22 May 2025
Concentration and moment inequalities for heavy-tailed random matrices
Concentration and moment inequalities for heavy-tailed random matrices
M. Jirak
Stanislav Minsker
Yiqiu Shen
Martin Wahl
85
1
0
17 Jul 2024
Sharper dimension-free bounds on the Frobenius distance between sample
  covariance and its expectation
Sharper dimension-free bounds on the Frobenius distance between sample covariance and its expectation
Nikita Puchkin
Fedor Noskov
V. Spokoiny
OT
67
7
0
28 Aug 2023
Robust covariance estimation with missing values and cell-wise
  contamination
Robust covariance estimation with missing values and cell-wise contamination
Karim Lounici
Grégoire Pacreau
111
2
0
01 Jun 2023
Covariance Estimation under Missing Observations and $L_4-L_2$ Moment
  Equivalence
Covariance Estimation under Missing Observations and L4−L2L_4-L_2L4​−L2​ Moment Equivalence
Pedro Abdalla
67
1
0
22 May 2023
Statistically Optimal Robust Mean and Covariance Estimation for
  Anisotropic Gaussians
Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians
A. Minasyan
Nikita Zhivotovskiy
61
9
0
21 Jan 2023
Spectrahedral Regression
Spectrahedral Regression
Eliza O'Reilly
V. Chandrasekaran
23
3
0
27 Oct 2021
Dimension-free Bounds for Sums of Independent Matrices and Simple
  Tensors via the Variational Principle
Dimension-free Bounds for Sums of Independent Matrices and Simple Tensors via the Variational Principle
Nikita Zhivotovskiy
79
35
0
18 Aug 2021
Network Estimation by Mixing: Adaptivity and More
Network Estimation by Mixing: Adaptivity and More
Tianxi Li
Can M. Le
76
7
0
05 Jun 2021
Suboptimality of Constrained Least Squares and Improvements via
  Non-Linear Predictors
Suboptimality of Constrained Least Squares and Improvements via Non-Linear Predictors
Tomas Vaskevicius
Nikita Zhivotovskiy
44
14
0
19 Sep 2020
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural
  Networks
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks
Wei Hu
Lechao Xiao
Ben Adlam
Jeffrey Pennington
72
63
0
25 Jun 2020
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
Halyun Jeong
Xiaowei Li
Y. Plan
Özgür Yilmaz
70
18
0
28 Jan 2020
1