Universality laws for Gaussian mixtures in generalized linear models

Universality laws for Gaussian mixtures in generalized linear models

17 February 2023

Ludovic Stephan

Florent Krzakala

Lenka Zdeborová

Papers citing "Universality laws for Gaussian mixtures in generalized linear models"

10 / 10 papers shown

Title
Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices Rishabh Dudeja Subhabrata Sen Yue M. Lu 26 21 0 04 Aug 2022
An Equivalence Principle for the Spectrum of Random Inner-Product Kernel Matrices with Polynomial Scalings Yue M. Lu H. Yau 42 25 0 12 May 2022
Theoretical characterization of uncertainty in high-dimensional linear classification Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová 58 20 0 07 Feb 2022
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 71 64 0 27 Jul 2020
The Gaussian equivalence of generative models for learning with shallow neural networks Sebastian Goldt Bruno Loureiro Galen Reeves Florent Krzakala M. Mézard Lenka Zdeborová BDL 72 103 0 25 Jun 2020
The role of regularization in classification of high-dimensional noisy Gaussian mixture Francesca Mignacco Florent Krzakala Yue M. Lu Lenka Zdeborová 33 89 0 26 Feb 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 62 169 0 21 Feb 2020
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression Emmanuel J. Candes Pragya Sur 50 140 0 25 Apr 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 246 8,856 0 25 Aug 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 181 1,216 0 26 Jun 2017