Co-occurring keywords · papers mentioning both
Papers
Global Convergence in Training Large-Scale Transformers
NeurIPS 2024
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent
JMLR 2024
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks
COLT 2023
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces
ICML 2023
On kernel-based statistical learning theory in the mean field limit
NeurIPS 2023
Stochastic Approximation Algorithms for Systems of Interacting Particles
NeurIPS 2023
A Dynamical Central Limit Theorem for Shallow Neural Networks
NeurIPS 2020