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stat.ML2024★ 1 cited
Bayesian Inference with Deep Weakly Nonlinear Networks
Boris Hanin, Alexander Zlokapa
We show at a physics level of rigor that Bayesian inference with a fully connected neural network and a shaped nonlinearity of the form is (perturbatively) solv…
stat.ML2022
Bayesian Interpolation with Deep Linear Networks
Boris Hanin, Alexander Zlokapa
Characterizing how neural network depth, width, and dataset size jointly impact model quality is a central problem in deep learning theory. We give here a complete solution in the…