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The lesson of causal discovery algorithms for quantum correlations: causal explanations of Bell-inequality violations require fine-tuning
An active area of research in the fields of machine learning and statistics is the development of causal discovery algorithms, the purpose of which is to infer the causal relations that hold among a set of variables from the correlations that these exhibit . We apply some of these algorithms …