NeurIPS 2025 Explorer
Concepts
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johnsanterre.github.io
do-calculus
A formal framework for reasoning about cause-and-effect relationships in probabilistic models, which helps in the identification of causal relationships within data.
3 papers
DeCaFlow: A deconfounding causal generative model
Identifying Macro Causal Effects in C-DMGs over DMGs
Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering