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Research map / Optimization / Implicit bias and generalization

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems

NeurIPS 2020 · Optimization › Implicit bias and generalization · approach: SGD noise and flat minima · 36 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use a 1/run step-size schedule instead of a constant or 1/sqrt(run) scheduleSGD · Shekel risk benchmarkconvergence speed: 2 to 4 orders of magnitudeHelped
Use a constant step size initially, then switch to 1/run for the remaining trainingResNet18 · CIFAR10training lossHelped

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