Overparameterization adds symmetries that precondition the Hessian for better minima and increase the probability mass of global minima near typical initializations.
Uniqueness of the weights for minimal feedforward nets with a given input-output map
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The Role of Symmetry in Optimizing Overparameterized Networks
Overparameterization adds symmetries that precondition the Hessian for better minima and increase the probability mass of global minima near typical initializations.