Some samples of the success of data principle in causal inference are: using directed information, minimum entropy couplings and common entropy for bivariate causal discovery; the usage of the knowledge bottleneck basic principle with applications within the generalization of machine Studying products; analyzing causal buildings of deep neural netw
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