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

Annual Conference Computational Learning Theory (COLT), 2020

31 January 2020

Cole Franks

Ankur Moitra

ArXiv (abs)PDF HTML

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

11 / 11 papers shown

Optimal Bounds for Tyler's M-Estimator for Elliptical Distributions

Lap Chi Lau

Akshay Ramachandran

15 Oct 2025

T-Rex: Fitting a Robust Factor Model via Expectation-Maximization

Daniel Cederberg

235

17 May 2025

A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion

Feng Yu

Teng Zhang

Gilad Lerman

388

17 Apr 2024

Improved Convergence Factor of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations

Casey Garner

Gilad Lerman

Teng Zhang

414

04 Nov 2023

iPCA and stability of star quivers

Cole Franks

V. Makam

176

19 Feb 2023

Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness

Casey Garner

Gilad Lerman

Shuzhong Zhang

201

02 Sep 2022

On a class of geodesically convex optimization problems solved via Euclidean MM methods

Melanie Weber

S. Sra

246

22 Jun 2022

Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimatorNeural Information Processing Systems (NeurIPS), 2022

L. Danon

Dan Garber

261

19 Jun 2022

Near optimal sample complexity for matrix and tensor normal models via geodesic convexity

406

14 Oct 2021

No-go Theorem for Acceleration in the Hyperbolic Plane

Linus Hamilton

Ankur Moitra

218

14 Jan 2021

Invariant theory and scaling algorithms for maximum likelihood estimationSIAM Journal on applied algebra and geometry (JSAAG), 2020

367

30 Mar 2020