most citedLearning Layer-wise Equivariances Automatically using Gradients

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stat.ML2023

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels

Alexander Immer, Tycho F. A. van der Ouderaa, Mark van der Wilk +2

Selecting hyperparameters in deep learning greatly impacts its effectiveness but requires manual effort and expertise. Recent works show that Bayesian model selection with Laplace…