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Abstract: Gradient method is a simple and popular learning algorithm for feedforward neural network (FNN) training. Some strong convergence results for both batch and online gradient methods are ...

Abstract: Gradient Descent Ascent (GDA) methods for min-max optimization problems typically produce oscillatory behavior that can lead to instability, e.g., in bilinear settings. To address this ...