Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion

9 June 2022

Papers citing "Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion"

5 / 5 papers shown

Title
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation Benjamin Dupuis Umut Simsekli 16 3 0 12 Feb 2024
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 313 0 11 Sep 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 111 577 0 27 Feb 2015