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Jacopo Iollo

2 accepted papers

2025

Bayesian Experimental Design Via Contrastive Diffusions

ICLR 2025spotlight

Bayesian Optimal Experimental Design (BOED) is a powerful tool to reduce the cost of running a sequence of experiments. When based on the Expected Information Gain (EIG), design optimization corresponds to the maximization of some intractable expected *contrast* between prior and posterior distribu…

2024

PASOA- PArticle baSed Bayesian Optimal Adaptive design

ICML 2024poster

We propose a new procedure named PASOA, for Bayesian experimental design, that performs sequential design optimization by simultaneously providing accurate estimates of successive posterior distributions for parameter inference. The sequential design process is carried out via a contrastive estimati…