ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
ABC3:基于Cohn准则的随机实验贝叶斯主动因果推断
In causal inference, randomized experiment is a de facto method to overcome various theoretical issues in observational study. However, the experimental design requires expensive costs, so an efficient experimental design is necessary. We propose ABC3, a Bayesian active learning policy for causal inference. We show a policy minimizing an estimation error on conditional average treatment effect is equivalent to minimizing an integrated posterior variance, similar to Cohn…