On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions

7 November 2023

Papers citing "On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions"

7 / 7 papers shown

Title
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements Eren C. Kızıldağ 63 0 0 07 Feb 2025
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence Berfin Simsek Amire Bendjeddou Daniel Hsu 46 0 0 13 Nov 2024
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics Alireza Mousavi-Hosseini Denny Wu Murat A. Erdogdu MLT AI4CE 35 6 0 14 Aug 2024
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs Luca Arnaboldi Yatin Dandi Florent Krzakala Bruno Loureiro Luca Pesce Ludovic Stephan 47 1 0 04 Jun 2024
Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets Khen Cohen Noam Levi Yaron Oz BDL 31 1 0 28 May 2024
From Zero to Hero: How local curvature at artless initial conditions leads away from bad minima Tony Bonnaire Giulio Biroli C. Cammarota 42 0 0 04 Mar 2024
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014