ServiceNow Research

Interventions

Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation
The practical utility of causality in decision-making is widely recognized, with causal discovery and inference being inherently …
Differentiable Causal Discovery from Interventional Data
Learning a causal directed acyclic graph from data is a challenging task that involves solving a combinatorial problem for which the …
Gradient-Based Neural DAG Learning with Interventions
Decision making based on statistical association alone can be a dangerous en- deavor due to non-causal associations. Ideally, one would …