ProxyConvexity: AUnifiedFramework fortheAnalysisofNeuralNetworks TrainedbyGradientDescent

Neural Information Processing Systems 

Weintroduce thenotions of proxy convexity and proxy Polyak-Lojasiewicz (PL) inequalities, which are satisfied iftheoriginal objectivefunction induces aproxy objectivefunction that is implicitly minimized when using gradient methods.

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