Dear all,

the next One World Approximate Bayesian Inference (OWABI) Seminarhttps://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/ is quickly approaching, being scheduled on Thursday, the 30th January at 11am UK time.

Our next speaker is Paul Bürknerhttps://paulbuerkner.com/ (TU Dortmund University), who will talk about "Amortized Mixture and Multilevel Models" with an abstract reported below.

Abstract: Probabilistic mixture and multilevel models are central building blocks in Bayesian data analysis. However, they remain challenging to estimate and evaluate, especially when the involved likelihoods or priors are analytically intractable. Recent developments in generative deep learning and simulation-based inference have shown promising results in scaling up Bayesian inference through amortization. Against this background, we have developed specialized neural inference frameworks for estimating Bayesian mixture and multilevel models. The involved neural architectures are closely mirroring the probabilistic symmetries and conditional (in-)dependencies assumed by these models. This not only speeds up neural network training, but also enables amortized inference for new datasets of varying number of groups and sample sizes. Keywords: Amortized Bayesian Inference; Neural Posterior Estimation; Probabilistic Factorization This and all talks are hosted on the OWABI Ms Teams Channel, which is available here https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_wt.... The MS Teams link to join Paul Bürkner's talk is https://teams.microsoft.com/l/meetup-join/19%3adhZ_4e_XLNJzCXPAMzTvT6BZ5KShE... Meeting ID: 361 477 079 820 Passcode: C49gr9Gx Lastly, if you missed Jeremias Knoblauch's seminar, you could now watch the recorded talk on the OWABI webpagehttp://www.warwick.ac.uk/oneworldabc. I'm looking forward to seeing you in a few weeks, best, Massimiliano on the behalf of the OWABI Seminar Organisers

------ Dr. Massimiliano Tamborrino Reader (Associate Professor) and WIHEA Fellow Department of Statistics University of Warwick https://warwick.ac.uk/tamborrino