ABC3 is a Gaussian-process active learning rule for randomized experiments that selects subjects and treatments to minimize integrated posterior variance of CATE estimates, with derived bounds on imbalance and type 1 error.
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ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments
ABC3 is a Gaussian-process active learning rule for randomized experiments that selects subjects and treatments to minimize integrated posterior variance of CATE estimates, with derived bounds on imbalance and type 1 error.