Empirical comparison finds qUCB outperforms qlogEI and matches or exceeds UCB/LP for convergence in noiseless and noisy 6D optimization, recommending it as default for unknown landscapes.
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Choosing a Suitable Acquisition Function for Batch Bayesian Optimization: Comparison of Serial and Monte Carlo Approaches
Empirical comparison finds qUCB outperforms qlogEI and matches or exceeds UCB/LP for convergence in noiseless and noisy 6D optimization, recommending it as default for unknown landscapes.