110 citations · 141 across the 5 of their papers we have counts for
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stat.ML2020★ 12 cited
Generalization bounds for deep learning
Guillermo Valle-Pérez, Ard A. Louis
Generalization in deep learning has been the topic of much recent theoretical and empirical research. Here we introduce desiderata for techniques that predict generalization errors…
cs.LG2020★ 8 cited
Is SGD a Bayesian sampler? Well, almost
Chris Mingard, Guillermo Valle-Pérez, Joar Skalse +1
Overparameterised deep neural networks (DNNs) are highly expressive and so can, in principle, generate almost any function that fits a training dataset with zero error. The vast ma…