Understanding generalization error of SGD in nonconvex optimization
Sign Up to like & getrecommendations! Published in 2021 at "Machine Learning"
DOI: 10.1007/s10994-021-06056-w
Abstract: The success of deep learning has led to a rising interest in the generalization property of the stochastic gradient descent (SGD) method, and stability is one popular approach to study it. Existing generalization bounds based… read more here.
Keywords: generalization error; generalization; error sgd; loss ... See more keywords