Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
NeurIPS, 2019.
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The challenge of learning the causal structure underlying a certain phenomenon is undertaken by connecting the set of conditional independences (CIs) readable from the observational data, on the one side, with the set of corresponding constraints implied over the graphical structure, on the other, which are tied through a graphical criter...More
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