Algorithms for Causal Reasoning in Probability Trees

Tom McGrath
Tom McGrath
Grégoire Déletang
Grégoire Déletang
Vladimir Mikulik
Vladimir Mikulik
Miljan Martic
Miljan Martic
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Abstract:

Probability trees are one of the simplest models of causal generative processes. They possess clean semantics and -- unlike causal Bayesian networks -- they can represent context-specific causal dependencies, which are necessary for e.g. causal induction. Yet, they have received little attention from the AI and ML community. Here we pre...More

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