Grundlagen der Entscheidungstheorie

By Wolfgang Spohn. 1978

How researchers see this paper

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Towards Causal Representation Learning (2021, background): “While causal structure discovery is hard if we have only two observables [187], the case of more observables is surprisingly easier, the reason being that in that case, there are nontrivial conditional independence properties [238, 51, 74] implied by causal structure.”
Causality for Machine Learning (2019, background): “ly hopeless. Surprisingly, this is not the case: the problem in a certain sense becomes easier, and the reason for this is that in that case, there are nontrivial conditional independence properties (Spohn, 1978; Dawid, 1979; Geiger and Pearl, 1990) implied by causal structure. These can be describe”