![[Search]](/static/images/search.gif){kind=small}
![[A-Z Index]](/static/images/az.gif){kind=small}
![[Contact]](/static/images/contact.gif){kind=small}
![[University of Cambridge]](/static/images/identifier2.gif){kind=small}
![[Talks.cam]](/static/images/talkslogosmall.gif)
Sahel Mohammad Iqbal (Aalto University)
Tuesday 24 June 2025, 10:15-10:45
Amortized Bayesian experimental design with sequential Monte Carlo
â ī¸ Important: RCLW03 - Accelerating statistical inference and experimental design with machine learning
- đ¤ Speaker: Sahel Mohammad Iqbal (Aalto University)
- đ Date & Time: Tuesday 24 June 2025, 10:15 - 10:45
- đ Venue: Seminar Room 1, Newton Institute
Questions? Contact
the organiser
Abstract
Most existing works on amortized Bayesian experimental design (BED) rely on contrastive estimators of the expected information gain (EIG). In this talk, I introduce a new framework for BED grounded in the control-as-inference paradigm. The task of collecting informative trajectories is reframed as a sampling problem from a non-Markovian state-space model. To address the resulting inference challenges, I present a nested sequential Monte Carlo algorithm tailored to this setting. This approach offers a fresh perspective on BED , and we end with ideas for improving the scalability of this algorithm.
Series This talk is part of the Isaac Newton Institute Seminar Series series.
Included in Lists
- All CMS events
- bld31
- dh539
- Featured lists
- INI info aggregator
- Isaac Newton Institute Seminar Series
- School of Physical Sciences
- Seminar Room 1, Newton Institute
Note: Ex-directory lists are not shown.