110 citations · 141 across the 5 of their papers we have counts for
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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…
cs.LG2019★ 11 cited
Neural networks are a priori biased towards Boolean functions with low entropy
Chris Mingard, Joar Skalse, Guillermo Valle-Pérez +3
Understanding the inductive bias of neural networks is critical to explaining their ability to generalise. Here, for one of the simplest neural networks -- a single-layer perceptro…