Scalable Modular Bayesian Inference With Normalizing Flows

Summary

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