research
∙
03/02/2023
Over-training with Mixup May Hurt Generalization
Mixup, which creates synthetic training instances by linearly interpolat...
share
research
∙
02/05/2023
Tighter Information-Theoretic Generalization Bounds from Supersamples
We present a variety of novel information-theoretic generalization bound...
research
∙
11/19/2022
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Stochastic differential equations (SDEs) have been shown recently to wel...
research
∙
10/03/2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation
This paper uses information-theoretic tools to analyze the generalizatio...
research
∙
10/07/2021
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
This paper follows up on a recent work of (Neu, 2021) and presents new a...
research
∙
09/02/2020
