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"

8 / 8 papers shown

Title
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model Kaito Takanami Takashi Takahashi Ayaka Sakata 35 0 0 27 Jan 2025
Restoring balance: principled under/oversampling of data for optimal classification Emanuele Loffredo Mauro Pastore Simona Cocco R. Monasson 35 9 0 15 May 2024
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models David X. Wu A. Sahai 26 2 0 23 Jun 2023
Demystifying Disagreement-on-the-Line in High Dimensions Dong-Hwan Lee Behrad Moniri Xinmeng Huang Edgar Dobriban Hamed Hassani 19 8 0 31 Jan 2023
Data-driven emergence of convolutional structure in neural networks Alessandro Ingrosso Sebastian Goldt 48 38 0 01 Feb 2022
The Implicit Bias of Benign Overfitting Ohad Shamir 96 35 0 27 Jan 2022
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 42 63 0 27 Jul 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar C. Pehlevan 131 200 0 07 Feb 2020