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Stability and Generalization of Straight-Through Estimators for Training Two-Layer Quantized Neural Networks
We study the identity straight-through estimator (STE) for training a two-layer binary-activation network with hinge loss from the perspective of Statistical Learning Theory (SLT). Our central question is whether algorithmic stability can explain the statistical generalization of the estimator produ
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