Scalable Bayesian Deep Learning with Modern Laplace Approximations

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Presentation from Erik Daxberger, PhD student In the Machine Learning Group at the University of Cambridge, about two of his papers: Bayesian Deep Learning via Subnetwork Inference http://proceedings.mlr.press/v139/dax... and Laplace Redux – Effortless Bayesian Deep Learning https://proceedings.neurips.cc/paper/...

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