On Discovery of Local Independence over Continuous Variables via Neural Contextual Decomposition

arXiv:2405.07220v1 Announce Type: new
Abstract: Conditional independence provides a way to understand causal relationships among the variables of interest. An underlying system may exhibit more fine-grained causal relationships especially between a variable and its parents, which will be called the local independence relationships. One of the most widely studied local relationships is Context-Specific Independence (CSI), which holds in a specific assignment of conditioned variables. However, its applicability is often limited since it does not allow continuous variables: data conditioned to …

abstract arxiv causal continuous cs.ai cs.lg discovery fine-grained parents relationships stat.ml type variables via will