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. 2410.05754
41
0

Simple Relative Deviation Bounds for Covariance and Gram Matrices

8 October 2024
Daniel Barzilai
Ohad Shamir
ArXivPDFHTML
Abstract

We provide non-asymptotic, relative deviation bounds for the eigenvalues of empirical covariance and Gram matrices in general settings. Unlike typical uniform bounds, which may fail to capture the behavior of smaller eigenvalues, our results provide sharper control across the spectrum. Our analysis is based on a general-purpose theorem that allows one to convert existing uniform bounds into relative ones. The theorems and techniques emphasize simplicity and should be applicable across various settings.

View on arXiv
@article{barzilai2025_2410.05754,
  title={ Simple Relative Deviation Bounds for Covariance and Gram Matrices },
  author={ Daniel Barzilai and Ohad Shamir },
  journal={arXiv preprint arXiv:2410.05754},
  year={ 2025 }
}
Comments on this paper