Bias of Homotopic Gradient Descent for the Hinge Loss

26 Jul 2019Denali MolitorDeanna NeedellRachel Ward

Gradient descent is a simple and widely used optimization method for machine learning. For homogeneous linear classifiers applied to separable data, gradient descent has been shown to converge to the maximal margin (or equivalently, the minimal norm) solution for various smooth loss functions... (read more)

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