A reminder of our talk this Thursday (30th Jan), at 11am GMT. Paul Bürkner (TU Dortmund University), will talk about "Amortized Mixture and Multilevel Models". Sign up at https://t.co/QIcmNUXjj3 to receive the link.
Paul Bürkner (TU Dortmund University), will give our next talk. This will be about "Amortized Mixture and Multilevel Models", and is scheduled on Thursday the 30th January at 11am. To receive the link to join, sign up at https://t.co/QIcmNUXjj3
Our next talk will be by Paul Bürkner https://t.co/kxt1ERVGoy on 30th January. Title: Amortized Bayesian Inference, Neural Posterior Estimation, Probabilistic Factorization.
A reminder of Jeremias Knoblauch's talk on November 28, 11am UK time. He will speak on "Post-Bayesian machine learning". Last chance to sign up and receive the link! https://t.co/QIcmNUXjj3
... Throughout, I will provide success stories of the field, and emphasise the new opportunities that open themselves up to us once we dare to go beyond orthodox Bayesian procedures.
Our next OWABI speaker is Jeremias Knoblauch (UCL), who will talk about "Post-Bayesian machine learning", November 28, 11am UK time. Sign up here to get the link to join https://t.co/QIcmNUXjj3
... I will explain why these efforts are needed, as well as the forms which they take. Focusing on some of my own contributions to the field, I will trace out some of the community’s most important milestones, as well as the challenges that lie ahead...
A reminder of our talk tomorrow by Ullrich Köthe (University of Heidelberg) on "Free-form flows for physics-informed generative modelling". Sign up here https://t.co/QIcmNUXjj3 to get the link to join.
The first talk of Season 6 is next week! On 31st October, 11am GMT, Ullrich Köthe (University of Heidelberg) will talk about "Free-form flows for physics-informed generative modelling". The talk will be on MS teams. Sign up to the list to get the link: https://t.co/QIcmNUXjj3
This is the new account for the One World Approximate Bayesian Inference (ABI) Seminar. Please follow if you are interested in any flavour of approximate Bayesian inference, including simulation-based inference. Website: https://t.co/c69TWVMHRi