Symbolic causal inference via operations on probabilistic circuits
Causal inference provides a means of translating a target causal query into a causal formula, which is a function of the observational distribution, given some assumptions on the domain. With the advent of modern neural probabilistic models, this opens up the possibility to perform accurate and trac...
| Autores principales: | , |
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| Formato: | Conference item |
| Lenguaje: | English |
| Publicado: |
OpenReview
2022
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