Abstract: Parallel Bayesian optimization is crucial for solving expensive black-box problems, yet batch acquisition strategies remain a challenge. To address this, we propose a novel parallel ...

Abstract: The standard Bayesian optimization algorithm encounters the curse of dimensionality in high-dimensional problems. The difficulty of optimizing the acquisition function increases, resulting ...

Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...