Model-assisted sampling applies survey sampling variance reduction with auxiliary predictors to stochastic gradients, yielding empirical gains on benchmarks and faster generalization with AdamW.
A comparison of design-based and model-based approaches for finite popu- lation spatial sampling and inference
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Stochastic Gradient Optimization with Model-Assisted Sampling
Model-assisted sampling applies survey sampling variance reduction with auxiliary predictors to stochastic gradients, yielding empirical gains on benchmarks and faster generalization with AdamW.