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A longstanding debate surrounds the related hypotheses that low-curvature minima generalize better, and that stochastic gradient descent (SGD) discourages curvature. We offer a more complete and nuanced view in support of both hypotheses. First, we s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f0b87f86d56dc3290fe52220ea1dae
http://arxiv.org/abs/2108.09507
http://arxiv.org/abs/2108.09507
