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Uncertain Descent / a simple baseline for bayesian uncertainty in deep learning
[DeepBayes2019]: Day 1, Opening remarks
Bayesian Deep Learning
Approximate Inference in Bayesian Deep Learning (NeurIPS 2021): Presentations by Competition Winners
Yee Whye Teh: On Bayesian Deep Learning and Deep Bayesian Learning (NIPS 2017 Keynote)
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections (NeurIPS 2019)
Understanding Bayesian Neural Networks: AI That Knows When It’s Unsure
Bayesian Deep Learning and Uncertainty | LearnAI (Advanced)
#150 Fast Bayesian Deep Learning, with David Rügamer, Emanuel Sommer & Jakob Robnik
DLRLSS 2019 - Bayesian Deep Learning - Roger Grosse
David Dunson: Scalable Bayesian Inference (NeurIPS 2018 Tutorial)
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Last Updated: October 27, 2026
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If you would to support the channel, please join the membership: youtube.com/c/AIPursuit/join to the ... This short video summarizes our If you enjoyed this video feel free to and ; also you can the for notifications! If you would to support ... Neural networks are the backbone of Slides: github.com/bayesgroup/deepbayes- Presentations by the winners of the Breiman Lecture by Yee Whye Teh on The Math of "I Don't Know": Why the "Evidence" integral is the biggest challenge in In this LearnAI lesson (Advanced · Community-driven tools are vital for advancing Roger Grosse speaks at DLRL Summer School with his lecture on Abstract: This tutorial will provide a practical overview of state-of-the-art approaches for analyzing massive data sets using ...