AI RESEARCH
Regime-Conditioned Evaluation in Multi-Context Bayesian Optimization
arXiv CS.LG
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ArXi:2605.04895v1 Announce Type: new Published transfer-BO comparisons often estimate an average treatment effect of acquisition choice over hidden regime variables, while practitioners need the conditional effect for their specific prior quality, budget ratio, and metric. An audit of 40 transfer-BO papers from NeurIPS, ICML, ICLR, AISTATS, UAI, TMLR, JMLR, and AutoML-Conf (2022-2025) finds that 98% never vary B/|A| as a controlled axis.