LLM surrogate beliefs under sparse observations depend on prompts and query protocols, with structural prompts as priors, pointwise vs joint querying producing different beliefs, and sequential evidence causing non-monotonic updates that affect acquisition and regret.
Taking the human out of the loop: A review of bayesian optimization.Proceedings of the IEEE, 104(1):148–175
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NUBO is a transparent, modular Python package implementing established Bayesian optimization techniques for bounded, constrained, and mixed input spaces.
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NUBO: A Transparent Python Package for Bayesian Optimization
NUBO is a transparent, modular Python package implementing established Bayesian optimization techniques for bounded, constrained, and mixed input spaces.