Information-Theoretic Generalization Bounds for Stochastic Gradient Descent with Predictable Virtual Noise
arXiv:2605.00064v1 Announce Type: new
Abstract: Information-theoretic generalization bounds analyze stochastic optimization by relating expected generalization error to the mutual information between learned parameters and training data. Virtual pertu…