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 ...

💡 NOTE: If you're interested in BAxUS, please consider using Bounce, which comes with an improved trust region management policy, an easier setup, and batch parallelism. benchmark_runner.py -id 100 ...