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TyXe: Pyro-based Bayesian neural nets for Pytorch


Oct 01, 2021
Hippolyt Ritter, Theofanis Karaletsos

* Previously presented at PROBPROG 2020 

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Sparse Uncertainty Representation in Deep Learning with Inducing Weights


May 30, 2021
Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li


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Bayesian Online Meta-Learning with Laplace Approximation


Apr 30, 2020
Pau Ching Yap, Hippolyt Ritter, David Barber


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Gaussian Mean Field Regularizes by Limiting Learned Information


Feb 12, 2019
Julius Kunze, Louis Kirsch, Hippolyt Ritter, David Barber


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Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting


May 20, 2018
Hippolyt Ritter, Aleksandar Botev, David Barber

* 13 pages, 6 figures 

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Practical Gauss-Newton Optimisation for Deep Learning


Jun 13, 2017
Aleksandar Botev, Hippolyt Ritter, David Barber

* ICML 2017 

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