mlsanityData to 7 Oct 2026

Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation

arXiv 1901.10452 ↗First posted 29 Jan 2019stat.ML cs.AI cs.LGcited by 17

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Abstract (arXiv)

Batch Bayesian optimisation (BO) has been successfully applied to hyperparameter tuning using parallel computing, but it is wasteful of resources: workers that complete jobs ahead of others are left idle. We address this problem by developing an approach, Penalising Locally for Asynchronous Bayesian Optimisation on k workers (PLAyBOOK), for asynchronous parallel BO. We demonstrate empirically the efficacy of PLAyBOOK and its variants on synthetic tasks and a real-world problem. We undertake a comparison between synchronous and asynchronous BO, and show that asynchronous BO often outperforms synchronous batch BO in both wall-clock time and number of function evaluations.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Jan 2019.

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Citing papers per year: 2021: 4; 2022: 6; 2023: 0; 2024: 2; 2025: 1; 2026: 4.

17 papers.

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  1. 2021GIBBON: General-purpose Information-Based Bayesian OptimisatioNcited by 47
  2. 2022Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimizationcited by 16
  3. 2022SnAKe: Bayesian Optimization with Pathwise Explorationcited by 14
  4. 2022Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scalecited by 13
  5. 2025LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithmscited by 10
  6. 2021A portfolio approach to massively parallel Bayesian optimizationcited by 9
  7. 2021Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRLcited by 8
  8. 2021DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecturecited by 6
  9. 2022Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimizationcited by 6
  10. 2022A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger designcited by 5
  11. 2022Batch Bayesian Optimization via Particle Gradient Flowscited by 2
  12. 2024A Unified Gaussian Process for Branching and Nested Hyperparameter Optimizationcited by 0
5 more
  1. 2024Scalable Batch Bayesian Optimization Via Subspace Acquisition Functionscited by 0
  2. 2026Standard Acquisition Is Sufficient for Asynchronous Bayesian Optimizationcited by 0
  3. 2026ALMAB-DC: Active Learning, Multi-Armed Bandits, and Distributed Computing for Sequential Experimental Design and Black-Box Optimizationcited by 0
  4. 2026mlr3mbo: Bayesian Optimization in Rcited by 0
  5. 2026Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does notcited by 0