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Robust covariance estimation under $L_4-L_2$ norm equivalence

Robust covariance estimation under L4−L2L_4-L_2L4​−L2​ norm equivalence

27 September 2018
S. Mendelson
Nikita Zhivotovskiy
ArXivPDFHTML

Papers citing "Robust covariance estimation under $L_4-L_2$ norm equivalence"

15 / 15 papers shown
Title
Black-Box $k$-to-$1$-PCA Reductions: Theory and Applications
Black-Box kkk-to-111-PCA Reductions: Theory and Applications
A. Jambulapati
Syamantak Kumar
Jerry Li
Shourya Pandey
Ankit Pensia
Kevin Tian
39
2
0
06 Mar 2024
Tuning-free one-bit covariance estimation using data-driven dithering
Tuning-free one-bit covariance estimation using data-driven dithering
S. Dirksen
J. Maly
23
7
0
24 Jul 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
31
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
29
9
0
21 Jan 2023
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Ilias Diakonikolas
D. Kane
Jasper C. H. Lee
Ankit Pensia
25
12
0
29 Nov 2022
Improved covariance estimation: optimal robustness and sub-Gaussian
  guarantees under heavy tails
Improved covariance estimation: optimal robustness and sub-Gaussian guarantees under heavy tails
R. I. Oliveira
Zoraida F. Rico
35
10
0
27 Sep 2022
Robust and Sparse Estimation of Linear Regression Coefficients with
  Heavy-tailed Noises and Covariates
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates
Takeyuki Sasai
26
4
0
15 Jun 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial
  Corruption and Heavy Tails
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails
Pedro Abdalla
Nikita Zhivotovskiy
38
25
0
17 May 2022
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
Abhishek Roy
Krishnakumar Balasubramanian
Murat A. Erdogdu
31
18
0
06 Sep 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
24
35
0
18 Aug 2021
Covariance estimation under one-bit quantization
Covariance estimation under one-bit quantization
S. Dirksen
J. Maly
Holger Rauhut
MQ
31
20
0
02 Apr 2021
Optimal Mean Estimation without a Variance
Optimal Mean Estimation without a Variance
Yeshwanth Cherapanamjeri
Nilesh Tripuraneni
Peter L. Bartlett
Michael I. Jordan
21
21
0
24 Nov 2020
Multivariate mean estimation with direction-dependent accuracy
Multivariate mean estimation with direction-dependent accuracy
Gabor Lugosi
S. Mendelson
28
12
0
22 Oct 2020
Robust subgaussian estimation with VC-dimension
Robust subgaussian estimation with VC-dimension
Jules Depersin
27
12
0
24 Apr 2020
Robust $k$-means Clustering for Distributions with Two Moments
Robust kkk-means Clustering for Distributions with Two Moments
Yegor Klochkov
Alexey Kroshnin
Nikita Zhivotovskiy
25
19
0
06 Feb 2020
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