Some examples of the achievement of information principle in causal inference are: the usage of directed information, minimal entropy couplings and common entropy for bivariate causal discovery; the use of the data bottleneck theory with apps within the generalization of machine Finding out styles; analyzing causal constructions of deep neural netw
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