mlsanityData to 14 Oct 2026

Bayesian Optimisation Against Climate Change: Applications and Benchmarks

arXiv 2306.04343 ↗First posted 7 Jun 2023cs.LGcited by 3

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Abstract (arXiv)

Bayesian optimisation is a powerful method for optimising black-box functions, popular in settings where the true function is expensive to evaluate and no gradient information is available. Bayesian optimisation can improve responses to many optimisation problems within climate change for which simulator models are unavailable or expensive to sample from. While there have been several demonstrations of climate-related applications, there has been no unifying review of applications and benchmarks. We provide such a review here, to encourage the use of Bayesian optimisation for important and well-suited applications. We identify four main application domains: material discovery, wind farm layout, optimal renewable control and environmental monitoring. For each domain we identify a public benchmark or data set that is easy to use and evaluate systems against, while being representative of real-world problems. Due to the lack of a suitable benchmark for environmental monitoring, we propose LAQN-BO, based on air pollution data. Our contributions are: a) summarising Bayesian optimisation applications related to climate change; b) identifying a representative range of benchmarks, providing example code where necessary; and c) introducing a new benchmark, LAQN-BO.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 29 of its 89 references that are in the map. First posted on arXiv 7 Jun 2023.

Builds on

29 of 89 references.

References · 29

  1. 2019Tackling Climate Change with Machine Learningcited by 265
  2. 2018When Gaussian Process Meets Big Data: A Review of Scalable GPscited by 206
  3. 2023Modern Bayesian Experimental Designcited by 125
  4. 2015Bayesian optimization for materials designcited by 80
  5. 2020Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimationcited by 56
  6. 2022Joint Entropy Search for Maximally-Informed Bayesian Optimizationcited by 55
  7. 2023Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspacescited by 52
  8. 2019Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisationcited by 51
  9. 2021Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domainscited by 48
  10. 2022Joint Entropy Search for Multi-objective Bayesian Optimizationcited by 45
  11. 2022Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimizationcited by 37
  12. 2022Local Bayesian optimization via maximizing probability of descentcited by 30
17 more
  1. 2019Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuningcited by 24
  2. 2021Automatic Termination for Hyperparameter Optimizationcited by 21
  3. 2020Bayesian Optimized Monte Carlo Planningcited by 16
  4. 2022SnAKe: Bayesian Optimization with Pathwise Explorationcited by 14
  5. 2022Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spacescited by 14
  6. 2021EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functionscited by 9
  7. 2022Batch Bayesian optimisation via density-ratio estimation with guaranteescited by 9
  8. 2017Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVscited by 7
  9. 2022Movement Penalized Bayesian Optimization with Application to Wind Energy Systemscited by 7
  10. 2020AutoMat: Accelerated Computational Electrochemical systems Discoverycited by 5
  11. 2022Bayesian Optimisation for Active Monitoring of Air Pollutioncited by 5
  12. 2019Active Collaborative Sensing for Energy Breakdowncited by 3
  13. 2020Optimising Placement of Pollution Sensors in Windy Environmentscited by 3
  14. 2023Designing Optimal Behavioral Experiments Using Machine Learningcited by 3
  15. 2019Active Localization of Gas Leaks using Fluid Simulationcited by 2
  16. 2021Joint Optimization of Wind Farm Layout Considering Optimal Controlcited by 2
  17. 2022Wind Farm Layout Optimisation using Set Based Multi-objective Bayesian Optimisationcited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 0; 2026: 2.

3 papers.

  1. 2024Transition Constrained Bayesian Optimization via Markov Decision Processescited by 7
  2. 2026Artificial Intelligence for Climate Adaptation: Reinforcement Learning for Climate Change-Resilient Transportcited by 0
  3. 2026Optimal Transport-based Permutation-Invariant Bayesian Optimization of Offshore Wind Farm Layoutscited by 0