111 citations · 403 across the 22 of their papers we have counts for
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cs.LG2019★ 44 cited
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
Vaishnavh Nagarajan, J. Zico Kolter
The ability of overparameterized deep networks to generalize well has been linked to the fact that stochastic gradient descent (SGD) finds solutions that lie in flat, wide minima i…
cs.LG2019★ 111 cited
Uniform convergence may be unable to explain generalization in deep learning
Vaishnavh Nagarajan, J. Zico Kolter
Aimed at explaining the surprisingly good generalization behavior of overparameterized deep networks, recent works have developed a variety of generalization bounds for deep learni…
cs.LG2019★ 56 cited
Generalization in Deep Networks: The Role of Distance from Initialization
Vaishnavh Nagarajan, J. Zico Kolter
Why does training deep neural networks using stochastic gradient descent (SGD) result in a generalization error that does not worsen with the number of parameters in the network? T…