Full-Batch Gradient Descent Outperforms One-Pass SGD: Sample Complexity Separation in Single-Index Learning

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Authors: Filip Kovačević, Hong Chang Ji, Denny C.-Y. Wu, Mahdi Soltanolkotabi, Marco Mondelli
Cited by: 0

Abstract

gradient steps suffice to achieve strong (exact) recovery.

Fields of Study & Subjects

Stochastic Gradient Optimization Techniques Sparse and Compressive Sensing Techniques Machine Learning and Algorithms

Publication details

Journal / source
PubMed
Volume
306
Pages
60661–60725
Publication date
2 February 2026
Language
EN