Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability

Neural Information Processing Systems 

Recent research has observed that in machine learning optimization, gradient descent (GD) often operates at the edge of stability (EoS) [Cohen et al., 2021],

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