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04/08/2023
Non-asymptotic approximations of Gaussian neural networks via second-order Poincaré inequalities
There is a growing interest on large-width asymptotic properties of Gaus...
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04/08/2023
Infinitely wide limits for deep Stable neural networks: sub-linear, linear and super-linear activation functions
There is a growing literature on the study of large-width properties of ...
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06/16/2022
Neural tangent kernel analysis of shallow α-Stable ReLU neural networks
There is a recent literature on large-width properties of Gaussian neura...
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08/02/2021
Deep Stable neural networks: large-width asymptotics and convergence rates
In modern deep learning, there is a recent and growing literature on the...
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05/24/2021
Approximating the Operating Characteristics of Bayesian Uncertainty Directed Trial Designs
Bayesian response adaptive clinical trials are currently evaluating expe...
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02/20/2021
Large-width functional asymptotics for deep Gaussian neural networks
In this paper, we consider fully connected feed-forward deep neural netw...
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02/07/2021
Infinite-channel deep stable convolutional neural networks
The interplay between infinite-width neural networks (NNs) and classes o...
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03/01/2020
Stable behaviour of infinitely wide deep neural networks
We consider fully connected feed-forward deep neural networks (NNs) wher...
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02/27/2019
