AI RESEARCH
BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH
arXiv CS.AI
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ArXi:2604.12005v1 Announce Type: cross Bayesian optimization (BO) has for sequential optimization of expensive black-box functions nstrated practicality and effectiveness in many real-world settings. Meta-Bayesian optimization (meta-BO) focuses on improving the sample efficiency of BO by making use of information from related tasks. Although meta-BO is sample-efficient when task structure transfers, poor alignment between meta-