OWABI - Kate Lee - 29th May, 10am UK time
Dear all, the next OWABI seminar www.warwick.ac.uk/owabi<http://www.warwick.ac.uk/owabi> of the Season is quickly approaching! We are glad to inform you that our next speaker is Kate Lee<https://profiles.auckland.ac.nz/kate-lee>(University of Auckland), who will talk about "Towards Robust and Scalable Bayesian Learning" on the 29th May at 10am UK time (note the different time!), with an abstract reported below. The talk will be streamed on the OWABI MS Teams Channel General | OWABI Seminar: One World Approximate Bayesian Inference Seminar<https://teams.microsoft.com/l/team/19%3AdhZ_4e_XLNJzCXPAMzTvT6BZ5KShEETkd_wtTY52VI81%40thread.tacv2/conversations?groupId=9c061d11-f88c-4cee-938f-bf40e7393879&tenantId=09bacfbd-47ef-4465-9265-3546f2eaf6bc> at this link https://teams.microsoft.com/meet/382746871856192?p=U7SJQ144q6hLNVFGdS Meeting ID: 382 746 871 856 192 Passcode: FZ2gn73K Speaker: Kate Lee<https://profiles.auckland.ac.nz/kate-lee> (University of Auckland) Title: Towards Robust and Scalable Bayesian Learning Abstract: My talk consists of two parts. The first focuses on Generalised Bayesian Inference (GBI), where the loss hyperparameters are critical under model misspecification yet difficult to determine in a principled way. We introduce a Bayesian framework for hyperparameter inference using held-out data, enabling coherent estimation and uncertainty quantification, together with amortized generalized-posterior approximations that avoid repeated costly sampling across datasets and hyperparameter values. The second addresses scalability in simulation-based inference through data reduction, developing methods that learn informative low-dimensional summaries to enable efficient inference in complex settings, with applications to gravitational wave analysis. Keywords: GBI, SBI, amortized learning We're looking forward to seeing you next week, best, Massimiliano on the behalf of the OWABI Seminar Organisers ------ Dr. Massimiliano Tamborrino SFHEA Reader (Associate Professor) Department of Statistics WIHEA Fellow and Internationalisation Learning Circle Co-Lead University of Warwick https://warwick.ac.uk/tamborrino
participants (1)
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Massimiliano Tamborrino