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cs.LG2023
Implicit Regularization Makes Overparameterized Asymmetric Matrix Sensing Robust to Perturbations
Johan S. Wind
Several key questions remain unanswered regarding overparameterized learning models. It is unclear how (stochastic) gradient descent finds solutions that generalize well, and in pa…
cs.LG2023★ 1 cited
Implicit regularization in AI meets generalized hardness of approximation in optimization -- Sharp results for diagonal linear networks
Johan S. Wind, Vegard Antun, Anders C. Hansen
Understanding the implicit regularization imposed by neural network architectures and gradient based optimization methods is a key challenge in deep learning and AI. In this work w…