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None To Optima in Few Shots: Bayesian Optimization with MDP Priors

arXiv — cs.LG•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

None To Optima in Few Shots: Bayesian Optimization with MDP Priors

A new algorithm called Procedure-inFormed Bayesian Optimization (ProfBO) has been introduced to enhance the efficiency of optimizing black-box functions, particularly in high-stakes fields like drug discovery and materials design. This advancement is significant because it addresses the limitations of traditional Bayesian Optimization, which often requires numerous evaluations that can be costly and time-consuming. By improving the optimization process, ProfBO could lead to faster and more effective solutions in critical applications, making it a noteworthy development in the field.
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