2026
SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets
ICML 2026poster
Learning causal relationships between variables from data is a fundamental research area with many applications across disciplines. Most of the existing causal discovery algorithms rely on the assumptions that (i) the underlying system is acyclic, (ii) the exogenous noise variables are Gaussian, and…