a kind reminder that the next OWABI seminar
www.warwick.ac.uk/owabi of the Season is on
Thursday the 28th May at 10am UK time
(a wrong date was circulated before, apologies for that!), when
Kate
Lee
(University of Auckland) will talk about "
Towards Robust and Scalable Bayesian Learning".
Meeting ID: 382 746 871 856 192
Passcode: FZ2gn73K
Speaker: 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