Dimension-free Bounds for Sums of Independent Matrices and Simple Tensors via the Variational Principle

18 August 2021

Papers citing "Dimension-free Bounds for Sums of Independent Matrices and Simple Tensors via the Variational Principle"

9 / 9 papers shown

Title
Time-Uniform Confidence Spheres for Means of Random Vectors Ben Chugg Hongjian Wang Aaditya Ramdas 40 5 0 14 Nov 2023
Bayesian Analysis for Over-parameterized Linear Model via Effective Spectra Tomoya Wakayama Masaaki Imaizumi 47 1 0 25 May 2023
Covariance Estimation under Missing Observations and $L_4-L_2$ Moment Equivalence Pedro Abdalla 15 1 0 22 May 2023
Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians A. Minasyan Nikita Zhivotovskiy 16 9 0 21 Jan 2023
Robust Estimation and Inference for Expected Shortfall Regression with Many Regressors Xuming He Kean Ming Tan Wen-Xin Zhou 11 7 0 11 Dec 2022
Improved covariance estimation: optimal robustness and sub-Gaussian guarantees under heavy tails R. I. Oliveira Zoraida F. Rico 11 10 0 27 Sep 2022
Exact spectral norm error of sample covariance Q. Han 16 8 0 27 Jul 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails Pedro Abdalla Nikita Zhivotovskiy 25 25 0 17 May 2022
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 34 196 0 21 Oct 2021