Bing-Jing Hsieh

Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization

Bayesian optimization (BO) conventionally relies on handcrafted acquisition functions (AFs) to sequentially determine the sample points. However, it has been widely observed in practice that the best-performing AF in terms of regret can vary significantly under different types of black-box functions…