Escaping mediocrity: how two-layer networks learn hard generalized linear models with SGD

29 May 2023

Papers citing "Escaping mediocrity: how two-layer networks learn hard generalized linear models with SGD"

5 / 5 papers shown

Title
A theoretical perspective on mode collapse in variational inference Roman Soletskyi Marylou Gabrié Bruno Loureiro DRL 21 1 0 17 Oct 2024
Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets Khen Cohen Noam Levi Yaron Oz BDL 16 1 0 28 May 2024
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features Rodrigo Veiga Anastasia Remizova Nicolas Macris 19 0 0 12 Feb 2024
Learning Single-Index Models with Shallow Neural Networks A. Bietti Joan Bruna Clayton Sanford M. Song 160 65 0 27 Oct 2022
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach Grant M. Rotskoff Eric Vanden-Eijnden 56 114 0 02 May 2018