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Causal Representation Learning: Why Observational Data Alone Cannot Identify Latent Causes

Most machine learning models learn representations of what is observed. Causal representation learning asks for something harder: representations of the underlying causes that generated the observations, recovered up to a transformation we can actually interpret and intervene on. The distinction ma…

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  1. 2026-10-31 20:34 · DEV Community — Machine Learning
    Causal Representation Learning: Why Observational Data Alone Cannot Identify Latent Causes

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