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Robust Sparse Covariance Estimation by Thresholding Tyler's M-Estimator
v1v2v3 (latest)

Robust Sparse Covariance Estimation by Thresholding Tyler's M-Estimator

25 June 2017
John Goes
Gilad Lerman
B. Nadler
ArXiv (abs)PDFHTML

Papers citing "Robust Sparse Covariance Estimation by Thresholding Tyler's M-Estimator"

14 / 14 papers shown
Title
Efficient Estimation of Regularized Tyler's M-Estimator Using Approximate LOOCV
Efficient Estimation of Regularized Tyler's M-Estimator Using Approximate LOOCV
Karim Abou-Moustafa
27
0
0
30 May 2025
T-Rex: Fitting a Robust Factor Model via Expectation-Maximization
T-Rex: Fitting a Robust Factor Model via Expectation-Maximization
Daniel Cederberg
79
0
0
17 May 2025
A Subspace-Constrained Tyler's Estimator and its Applications to
  Structure from Motion
A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion
Feng Yu
Teng Zhang
Gilad Lerman
61
3
0
17 Apr 2024
Improved Convergence Rates of Windowed Anderson Acceleration for
  Symmetric Fixed-Point Iterations
Improved Convergence Rates of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations
Casey Garner
Gilad Lerman
Teng Zhang
46
1
0
04 Nov 2023
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble
  Kalman Filters
Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters
Omar Al Ghattas
Jiaheng Chen
D. Sanz-Alonso
Nathan Waniorek
67
5
0
25 Oct 2023
Affine equivariant Tyler's M-estimator applied to tail parameter
  learning of elliptical distributions
Affine equivariant Tyler's M-estimator applied to tail parameter learning of elliptical distributions
Esa Ollila
Daniel P. Palomar
Frédéric Pascal
23
4
0
07 May 2023
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization
  and its Application to Fairness
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness
Casey Garner
Gilad Lerman
Shuzhong Zhang
49
0
0
02 Sep 2022
Tyler's and Maronna's M-estimators: Non-Asymptotic Concentration Results
Tyler's and Maronna's M-estimators: Non-Asymptotic Concentration Results
Elad Romanov
Gil Kur
B. Nadler
66
3
0
21 Jun 2022
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
L. Danon
Dan Garber
51
4
0
19 Jun 2022
Nearly minimax robust estimator of the mean vector by iterative spectral
  dimension reduction
Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction
A. Bateni
A. Minasyan
A. Dalalyan
54
2
0
05 Apr 2022
Near optimal sample complexity for matrix and tensor normal models via
  geodesic convexity
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
Cole Franks
Rafael Oliveira
Akshay Ramachandran
M. Walter
61
8
0
14 Oct 2021
Rigorous Guarantees for Tyler's M-estimator via quantum expansion
Rigorous Guarantees for Tyler's M-estimator via quantum expansion
Cole Franks
Ankur Moitra
67
26
0
31 Jan 2020
Elliptical Perturbations for Differential Privacy
Elliptical Perturbations for Differential Privacy
M. Reimherr
Jordan Awan
57
12
0
23 May 2019
An Overview of Robust Subspace Recovery
An Overview of Robust Subspace Recovery
Gilad Lerman
Tyler Maunu
84
131
0
02 Mar 2018
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