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...
| Hoofdauteurs: | , |
|---|---|
| Formaat: | Conference item |
| Taal: | English |
| Gepubliceerd in: |
OpenReview
2022
|