HEBO: Heteroscedastic Evolutionary Bayesian Optimisation

Alexander I. Cowen-Rivers, Wenlong Lyu, Zhi Wang, Rasul Tutunov, Hao Jianye, Jun Wang, Haitham Bou Ammar

We introduce HEBO: Heteroscedastic Evolutionary Bayesian Optimisation that won the NeurIPS 2020 black-box optimisation competition. We present non-conventional modifications to the surrogate model and acquisition maximisation process and show such a combination superior against all baselines provided by the \texttt{Bayesmark} package. Lastly, we perform an ablation study to highlight the components that contributed to the success of HEBO.

Knowledge Graph

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