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First lecture on Bayesian Deep Learning and Uncertainty Quantification
Yee Whye Teh: On Bayesian Deep Learning and Deep Bayesian Learning (NIPS 2017 Keynote)
Is Bayesian deep learning the most brilliant thing ever - a panel discussion
Trustworthy AI: Bayesian deep learning | AI FOR GOOD DISCOVERY
Eric J. Ma - An Attempt At Demystifying Bayesian Deep Learning
Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial
Understanding Approximate Inference in Bayesian Neural Networks: A Joint Talk
Bayesian Deep learning with 10% of the weights - Rob Romijnders
Bayesian Deep Learning — ANDREW GORDON WILSON
Andrew Rowan - Bayesian Deep Learning with Edward (and a trick using Dropout)
Modern Deep Learning through Bayesian Eyes
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Last Updated: October 17, 2026
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Summary
We're gonna have some other stuff as well yeah so I'm going machinelearning In this keynote, ... simple probabilistic models efficiently and use Breiman Lecture by Yee Whye Teh on ... Adams Jose Miguel Hernandez Lobato Ian Goodfellow Shakir Mohamed Moderator: Neil Lawrence --- PyData New York City 2017 Slides: ericmjl.github.io/ Do we need rich posterior approximations in variational inference? Mean-field variational inference and Monte Carlo dropout are ... In this talk, we solve both problems with one simple trick: In this talk I will give a brief overview of developments in