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Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data

NeurIPS 2018 · Optimization › Implicit bias and generalization · approach: Shallow ReLU network convergence · 273 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use SGD with sufficient overparameterization and random initializationTwo-layer ReLU network on well-separated mixture data · Well-separated mixture distributionstest error: at most εHelped
Increase the number of hidden units (ablation)SGD on two-layer ReLU network · Synthetic datatest accuracyHelped
Increase the number of hidden units (ablation)SGD on two-layer ReLU network · MNISTtest accuracyMixed

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