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: Bayesian optimization is a sequential optimization method that is particularly well suited for problems with limited computational budgets involving expensive and non-convex black-box ...
💡 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 ...
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