Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation

17 February 2023

Papers citing "Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation"

7 / 7 papers shown

Title
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models Taj Jones-McCormick Aukosh Jagannath S. Sen 119 0 0 24 Feb 2025
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model Kaito Takanami Takashi Takahashi Ayaka Sakata 153 1 0 27 Jan 2025
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs Kasimir Tanner Matteo Vilucchio Bruno Loureiro Florent Krzakala AAML 97 1 0 31 Dec 2024
Restoring balance: principled under/oversampling of data for optimal classification Emanuele Loffredo Mauro Pastore Simona Cocco R. Monasson 109 9 0 15 May 2024
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models David X. Wu A. Sahai 105 3 0 23 Jun 2023
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions Kai Tan Pierre C. Bellec 54 5 0 28 May 2023
Universality laws for Gaussian mixtures in generalized linear models Yatin Dandi Ludovic Stephan Florent Krzakala Bruno Loureiro Lenka Zdeborová FedML 97 23 0 17 Feb 2023