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Research map / Optimization / Implicit bias and generalization

Stochastic Gradient and Langevin Processes

ICML 2020 · Optimization › Implicit bias and generalization · approach: SGD noise and flat minima · 10 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Increase the noise covariance in standard SGDSGD · CIFAR-10 test settest accuracyHelped
Match noise covariance while changing step size and batch sizeSGD · CIFAR-10 test settest accuracyNo clear effect
Inject additional noise to match a higher covarianceLarge-noise SGD · CIFAR-10 test settest accuracyHelped
Use large-noise SGD with noise covariance matched to vanilla SGDLarge-noise SGD versus vanilla SGD · CIFAR-10 test settest accuracyNo clear effect

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