SGD with momentum has a provably worse generalization bound than plain SGD under heavy-tailed noise for quadratic losses, according to a comparison that is flawed as written.
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Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise
SGD with momentum has a provably worse generalization bound than plain SGD under heavy-tailed noise for quadratic losses, according to a comparison that is flawed as written.