Hien Tran

Causal Bayesian Optimization: Foundations, Methods, and Applications

This survey provides a systematic review of CBO through a unified BO-loop perspective, showing how causal assumptions shape intervention search spaces, surrogate models, acquisition functions, and decision policies, and identifies key open challenges, including robustness to causal-assumption violations, scalable unkno...