Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization

Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization

4 February 2021

Laurent Massoulié

Papers citing "Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization"

5 / 5 papers shown

Title
Meta-learning of shared linear representations beyond well-specified linear regression Mathieu Even Laurent Massoulié 44 0 0 31 Jan 2025
Global convergence of gradient descent for phase retrieval Théodore Fougereux Cédric Josz Xiaopeng Li 18 0 0 13 Oct 2024
The Relative Gaussian Mechanism and its Application to Private Gradient Descent Hadrien Hendrikx Paul Mangold A. Bellet 28 1 0 29 Aug 2023
(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability Mathieu Even Scott Pesme Suriya Gunasekar Nicolas Flammarion 28 16 0 17 Feb 2023
Dimension-free Bounds for Sums of Independent Matrices and Simple Tensors via the Variational Principle Nikita Zhivotovskiy 24 35 0 18 Aug 2021