Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework
Shapley-PC：受 Shapley 值启发的约束型因果结构学习
Causal Structure Learning (CSL), also referred to as causal discovery, amounts to extracting causal relations among variables in data. CSL enables the estimation of causal effects from observational data alone, avoiding the need to perform real life experiments. Constraint-based CSL leverages conditional independence tests to perform causal discovery. We propose Shapley-PC, a novel method to improve constraint-based CSL algorithms by using Shapley values over the possible…