2026
Query-Specific Causal Graph Pruning Under Tiered Knowledge
ICLR 2026poster
We present a systematic method for pruning edges from causal graphs by leveraging tiered knowledge. We characterize conditions under which edges can be removed from a causal graph while preserving the identifiability of (conditional) causal effects. This result enables causal identification on simpl…