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News/Approaching Backpropagation Accuracy with Weight Perturbation on MNIST
arxiv
PublishedOctober 16, 2026 at 4:00 AM

Approaching Backpropagation Accuracy with Weight Perturbation on MNIST

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arXiv:2610.21665v1 Announce Type: new Abstract: Weight perturbation (WP) estimates learning directions from random parameter perturbations and a scalar change in loss, without backpropagating derivatives. We examine how batch size, training duration, and estimator stabilization affect its attainable

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