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Sagan

Paper

Causal Representation Learning for Generalisable Recommendation

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AI summary

arXiv:2605. 27043v1 Announce Type: new Abstract: Predictive models trained on observational data often fail to generalise to the distributions they encounter when deployed, especially when the training data is a product of the system being optimised.