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Rigorous Guarantees for Tyler's M-estimator via quantum expansion
v1v2v3v4v5 (latest)

Rigorous Guarantees for Tyler's M-estimator via quantum expansion

31 January 2020
Cole Franks
Ankur Moitra
ArXiv (abs)PDFHTML

Papers citing "Rigorous Guarantees for Tyler's M-estimator via quantum expansion"

10 / 10 papers shown
Title
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
46
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
39
1
0
04 Nov 2023
iPCA and stability of star quivers
iPCA and stability of star quivers
Cole Franks
V. Makam
44
2
0
19 Feb 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
On a class of geodesically convex optimization problems solved via
  Euclidean MM methods
On a class of geodesically convex optimization problems solved via Euclidean MM methods
Melanie Weber
S. Sra
44
4
0
22 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
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
No-go Theorem for Acceleration in the Hyperbolic Plane
No-go Theorem for Acceleration in the Hyperbolic Plane
Linus Hamilton
Ankur Moitra
50
21
0
14 Jan 2021
Invariant theory and scaling algorithms for maximum likelihood
  estimation
Invariant theory and scaling algorithms for maximum likelihood estimation
Carlos Améndola
Kathlén Kohn
Philipp Reichenbach
A. Seigal
63
35
0
30 Mar 2020
1