14.06.2023 13:15 Marcel Wienöbst (Universität zu Lübeck):
Linear-Time Algorithms for Front-Door Adjustment in Causal GraphsBC1 2.01.10 (8101.02.110) (Parkring 11, 85748 Garching-Hochbrück)
Causal effect estimation from observational data is a fundamental task in empirical sciences. It becomes particularly challenging when unobserved confounders are involved in a system. This presentation provides an introduction to front-door adjustment – a classic technique which, using observed mediators, allows to identify causal effects even in the presence of unobserved confounding. Focusing on the algorithmic aspects, this talk presents recent results for finding front-door adjustment sets in linear-time in the size of the causal graph.
Link to technical report: https://arxiv.org/abs/2211.16468