DCILP: A Distributed Approach for Large-Scale Causal Structure Learning

Shuyu Dong, Michèle Sebag, Kento Uemura +4

Causal learning tackles the computationally demanding task of estimating causal graphs. This paper introduces a new divide-and-conquer approach for causal graph learning, called DC…