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Explore the powerful information-theoretic framework of Bayesian experimental design (BED) in this 39-minute invited talk by Desi R. Ivavona from the University of Oxford at the LAFI 2025 workshop. Discover how recent advances have transformed our ability to overcome the substantial computational challenges that previously undermined the practical use of BED. Learn about cutting-edge techniques making BED more applicable to real-world scenarios and gain insights into available open source tools for implementation. This presentation, sponsored by ACM SIGPLAN, was delivered at the LAFI workshop on January 19, 2025, as part of the POPL25 conference.
