108 citations · 131 across the 9 of their papers we have counts for
3 papers · 1 filter
Understanding Transfer Learning via Mean-field Analysis
Gholamali Aminian, Łukasz Szpruch, Samuel N. Cohen
We propose a novel framework for exploring generalization errors of transfer learning through the lens of differential calculus on the space of probability measures. In particular,…
Generalization Error of Graph Neural Networks in the Mean-field Regime
Gholamali Aminian, Yixuan He, Gesine Reinert +2
This work provides a theoretical framework for assessing the generalization error of graph neural networks in the over-parameterized regime, where the number of parameters surpasse…
Mean-field Analysis of Generalization Errors
Gholamali Aminian, Samuel N. Cohen, Łukasz Szpruch
We propose a novel framework for exploring weak and generalization errors of algorithms through the lens of differential calculus on the space of probability measures. Specif…