Track 1 Session 1. Spotlights

Dec 10, 2019

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- On Exact Computation with an Infinitely Wide Neural Net - Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks - Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks - Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks

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Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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