{"podcast":{"title":"Learning Bayesian Statistics","slug":"learning-bayesian-statistics","podcast_index_feed_id":1331380,"rss_url":"https://feeds.captivate.fm/learnbayesstats/","website_url":"https://www.learnbayesstats.com","image_url":"https://hosting-media.riverside.com/media/imports/podcasts/79e0a4fb-97ab-4e95-a875-24a8b9ee27da/2331893-1568966097324-58deab5a83dc6.jpg","author":"Alexandre Andorra","episode_count":199,"summary":"Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the methods, the projects and the people who make all that possible. So I created \"Learning Bayesian Statistics\", where you'll get to hear how Bayesian statistics are used to detect black matter in outer space, forecast elections or understand how diseases spread and can ultimately be stopped. But this show is not only about successes -- it's also about failures, because that's how we learn best. So you'll often hear the guests talking about what *didn't* work in their projects, why, and how they overcame these challenges. Because, in the end, we're all lifelong learners! My name is Alex Andorra by the way. By day, I'm a Senior data scientist. By night, I don't (yet) fight crime, but I'm an open-sour…","last_synced_at":null,"page_url":"https://stenobird.com/podcast/learning-bayesian-statistics"},"episode":{"title":"#150 Fast Bayesian Deep Learning, with David Rügamer, Emanuel Sommer & Jakob Robnik","slug":"150-fast-bayesian-deep-learning-with-david-r-gamer-emanuel-sommer-jakob-robnik","published_at":"2026-01-28T15:30:00+00:00","page_url":"https://stenobird.com/podcast/learning-bayesian-statistics/150-fast-bayesian-deep-learning-with-david-r-gamer-emanuel-sommer-jakob-robnik","show_page_url":"https://stenobird.com/podcast/learning-bayesian-statistics","url":"https://api.riverside.com/hosting-analytics/media/57695a600db2214f311e111d1f4e3ca6505e175c672a750a8956d04bf2d9cb13/eyJlcGlzb2RlSWQiOiIwOTVhZWRiMi1jYmIzLTQ1MjUtYjY5My0xZjhjMmFhYmFiZDEiLCJwb2RjYXN0SWQiOiI3OWUwYTRmYi05N2FiLTRlOTUtYTg3NS0yNGE4YjllZTI3ZGEiLCJhY2NvdW50SWQiOiI2NDQ4M2JiZWM3ZjQ1MTFhYThjMzE1Y2QiLCJwYXRoIjoibWVkaWEvY2xpcHMvNjk3YTFlMjU3N2NlZDBmOTI2MTZmYTgzL2FsZXhhbmRyZS1hbmRvcnJhcy1zdHVkaW8tY29tcG9zZXItMjAyNi0xLTI4X18xNS0zMy05Lm1wMyJ9.mp3","audio_url":"https://api.riverside.com/hosting-analytics/media/57695a600db2214f311e111d1f4e3ca6505e175c672a750a8956d04bf2d9cb13/eyJlcGlzb2RlSWQiOiIwOTVhZWRiMi1jYmIzLTQ1MjUtYjY5My0xZjhjMmFhYmFiZDEiLCJwb2RjYXN0SWQiOiI3OWUwYTRmYi05N2FiLTRlOTUtYTg3NS0yNGE4YjllZTI3ZGEiLCJhY2NvdW50SWQiOiI2NDQ4M2JiZWM3ZjQ1MTFhYThjMzE1Y2QiLCJwYXRoIjoibWVkaWEvY2xpcHMvNjk3YTFlMjU3N2NlZDBmOTI2MTZmYTgzL2FsZXhhbmRyZS1hbmRvcnJhcy1zdHVkaW8tY29tcG9zZXItMjAyNi0xLTI4X18xNS0zMy05Lm1wMyJ9.mp3","summary":"• Support & get perks ! • Proudly sponsored by PyMC Labs ! • Intro to Bayes and Advanced Regression courses (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work ! Chapters: 00:00 Scaling Bayesian Neural Networks 04:26 Origin Stories of the Researchers 09:46 Research Themes in Bayesian Neural Networks 12:05 Making Bayesian Neural Networks Fast 16:19 Microcanonical Langevin Sampler Explained 22:57 Bottlenecks in Scaling Bayesian Neural Networks 29:09 Practical Tools for Bayesian Neural Networks 36:48 Trade-offs in Computational Efficiency and Posterior Fidelity 40:13 Exploring High Dimensional Gaussians 43:03 Practical Applications of Bayesian Deep Ensembles 45:20 Comparing Bayesian Neural Networks with Standard Approaches 50:03 Identifying Real-World Applications for Bayesian Methods 57:44 Future of Bayesian Deep Learning at Scale 01:05:56 The Evolution of Bayesian Inference Packages 01:10:39 Vision for the Future of Bayesian Statistics Thank you to my Patrons for making this episode possible! Come meet Alex at the Field of Play Conference in Manchester, UK, March 27, 2026! Links from the show : David Rügamer: * Website * Google Scholar * GitHub Emanuel Sommer: * Website * GitHub * Google Scholar Jakob Robnik: * Google Scholar * GitHub * Microcanonical Langevin paper * LinkedIn","meta_description":"• Support & get perks ! • Proudly sponsored by PyMC Labs ! • Intro to Bayes and Advanced Regression courses (first 2 lessons free) Our theme music is…","key_points":[],"chapters":[],"topics":[],"duration_seconds":4827,"processing_state":"failed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/learning-bayesian-statistics/episodes/150-fast-bayesian-deep-learning-with-david-r-gamer-emanuel-sommer-jakob-robnik/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/learning-bayesian-statistics/150-fast-bayesian-deep-learning-with-david-r-gamer-emanuel-sommer-jakob-robnik.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}