Decision-Aware Proximal Bridge Learning for Optimal Treatment Selection

ArXi:2605.16989v1 Announce Type: new Individualized treatment selection with continuous actions requires accurate causal response estimation in decision-relevant regions, rather than uniformly over the entire action space. Estimating a global causal response surface and then choosing the treatment that maximizes it can. therefore. be suboptimal, since standard estimation objectives allocate modeling effort according to the observed treatment distribution rather than the regions that determine the optimal decision.