Tag: hard

Characterization and Learning of Causal Graphs from Hard Interventions arXiv:2505.01037v1 Announce Type: new Abstract: A fundamental challenge in the empirical sciences involves uncovering causal structure through observation and experimentation. Causal discovery entails linking the conditional independence (CI) invariances in observational data to their corresponding graphical constraints via d-separation. In this paper, we consider a general…