Exploring Scalable Modular Bayesian Inference With Normalizing Flows
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- David Dunson, Duke University Computational Challenges in Machine Learning ...
- Abstract: This tutorial will provide a practical overview of state-of-the-art approaches for analyzing massive data sets using ...
- So now that we talked about inverse advocacy flows there is actually really nice connection between Silvestre
- Video accompanying the paper "Variational
- Robert Bamler is a Professor for Data Science and Machine Learning at the University of Tübingen in Germany. This talk was part ...
In-Depth Information on Scalable Modular Bayesian Inference With Normalizing Flows
Bayesian This short tutorial covers the basics of Normalizing flow This video introduces
Recorded Dec 3rd, 2018 This tutorial will provide a practical overview of state-of-the-art approaches for analyzing massive data ...
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