Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed

Abstract: A recent series of theoretical works showed that the dynamics of neural networks with a certain initialisation are well-captured by kernel methods. Concurrent empirical work demonstrated that kerne...
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