2 citations · 2 across the 3 of their papers we have counts for
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Ilyas Fatkhullin, Florian Hübler, Guanghui Lan
Stochastic Gradient Descent (SGD) is a cornerstone of large-scale optimization, yet its theoretical behavior under heavy-tailed noise -- common in modern machine learning and reinf…