Scalable Modular Bayesian Inference With Normalizing Flows

Summary

This short tutorial covers the basics of Machine Learning: Implementation of the paper "Variational In the second part of this introductory lecture I will be presenting Ever wondered how Generative AI models turn random noise into meaningful data images or text? Welcome to today's ... Recorded Dec 3rd, 2018 This tutorial will provide a practical overview of state-of-the-art approaches for analyzing massive data ... This video explores Amortized Variational Abstract: This tutorial will provide a practical overview of state-of-the-art approaches for analyzing massive data sets using ... Presentation by Anthony Caterini, DPhil student in Statistics at the University of Oxford. Link to paper: ... Proudly sponsored by PyMC Labs, the Robert Bamler is a Professor for Data Science and Machine Learning at the University of Tübingen in Germany. This talk was part ...