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Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial
  Corruption and Heavy Tails

Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails

17 May 2022
Pedro Abdalla
Nikita Zhivotovskiy
ArXivPDFHTML

Papers citing "Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails"

6 / 6 papers shown
Title
Do we really need the Rademacher complexities?
Do we really need the Rademacher complexities?
Daniel Bartl
S. Mendelson
55
0
0
24 Feb 2025
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
15
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
16
9
0
21 Jan 2023
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
9
10
0
27 Sep 2022
New bounds for $k$-means and information $k$-means
New bounds for kkk-means and information kkk-means
Gautier Appert
O. Catoni
19
5
0
14 Jan 2021
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
135
451
0
03 Dec 2007
1