can be as effective as any explicit counterfactual method. We adopt the architecture of
TARNet—a simple neural network with two heads (one for treatment, one for control) which
is trained with a relatively high batch size. Combined with ensemble methods, this produces
competitive results in four counterfactual inference benchmarks: IHDP, NEWS, JOBS, and
TWINS. Our results indicate that relatively simple methods might be good enough for …