Causal Abstractions Using Generalized Functions

Explore a 53-minute conference talk on causal abstractions using generalized functions presented by Sander Beckers from Valence Labs. Delve into the introduction of generalized functions and their application in reinterpreting and generalizing causal models and relations. Learn about nondeterministic structural causal models expressed through generalized functions and discover two novel types of model reduction. Examine the generalization of these reductions, leading to two definitions of causal abstraction: one extending to nondeterministic models and another capturing partial abstraction. Follow the talk's structure, covering the introduction, constructive abstraction, generalizing and constructing abstractions, and recursiveness. Connect with the TechBio community and speakers through the provided Portal link for more insights and discussions on this topic.