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January 2025
Identifiability of total effects from abstractions of time series causal graphs
UAI '24: Proceedings of the Fortieth Conference on Uncertainty in Artificial IntelligenceArticle No.: 7, Pages 173–185

We study the problem of identifiability of the total effect of an intervention from observational time series in the situation, common in practice, where one only has access to abstractions of the true causal graph. We consider here two abstractions: the ...
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July 2010
Session details: Automatic classification
- Eric Gaussier
SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrievalhttps://doi.org/10.1145/3254375
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