Cover Image

Bayesian Optimisation Against Climate Change: Applications and Benchmarks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hellan, Sigrid Passano, Lucas, Christopher G., Goddard, Nigel H.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-driven Prior Learning for Bayesian Optimisation
by: Hellan, Sigrid Passano, et al.
Published: (2023)

Bayesian Optimisation for Active Monitoring of Air Pollution
by: Hellan, Sigrid Passano, et al.
Published: (2022)

Hyperparameter Selection in Continual Learning
by: Lee, Thomas L., et al.
Published: (2024)

Mesh motion in fluid-structure interaction with deep operator networks
by: Hellan, Ottar
Published: (2024)

Contextual Causal Bayesian Optimisation
by: Arsenyan, Vahan, et al.
Published: (2023)

Graph Agnostic Causal Bayesian Optimisation
by: Mukherjee, Sumantrak, et al.
Published: (2024)

Robust Bayesian Optimisation with Unbounded Corruptions
by: Ezzerg, Abdelhamid, et al.
Published: (2025)

High-Dimensional Bayesian Optimisation with Large-Scale Constraints -- An Application to Aeroelastic Tailoring
by: Maathuis, Hauke, et al.
Published: (2023)

Mean-Field Bayesian Optimisation
by: Steinberg, Petar, et al.
Published: (2025)

Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by: Dellaporta, Charita, et al.
Published: (2024)

Bayesian Optimistic Optimisation with Exponentially Decaying Regret
by: Tran-The, Hung, et al.
Published: (2021)

Bayesian Optimisation: Which Constraints Matter?
by: Lin, Xietao Wang, et al.
Published: (2025)

Ensemble Distributionally Robust Bayesian Optimisation
by: Ramazyan, Tigran, et al.
Published: (2026)

Sample-efficient Bayesian Optimisation Using Known Invariances
by: Brown, Theodore, et al.
Published: (2024)

Principled Bayesian Optimisation in Collaboration with Human Experts
by: Xu, Wenjie, et al.
Published: (2024)

Deep Kernel Bayesian Optimisation for Closed-Loop Electrode Microstructure Design with User-Defined Properties based on GANs
by: Gayon-Lombardo, Andrea, et al.
Published: (2025)

MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
by: Yang, Adam X., et al.
Published: (2023)

Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
by: Ziomek, Juliusz, et al.
Published: (2024)

Learning to Optimise Climate Sensor Placement using a Transformer
by: Wang, Chen, et al.
Published: (2023)

Evasion Attacks Against Bayesian Predictive Models
by: Arce, Pablo G., et al.
Published: (2025)

Dimensionality Reduction Techniques for Global Bayesian Optimisation
by: Long, Luo, et al.
Published: (2024)

Bayesian Program Learning by Decompiling Amortized Knowledge
by: Palmarini, Alessandro B., et al.
Published: (2023)

An Empirical Study on Ensemble-Based Transfer Learning Bayesian Optimisation with Mixed Variable Types
by: Trinkle, Natasha, et al.
Published: (2026)

HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation
by: Xuan, Junyu, et al.
Published: (2025)

Nuclear Data Adjustment for Nonlinear Applications in the OECD/NEA WPNCS SG14 Benchmark -- A Bayesian Inverse UQ-based Approach for Data Assimilation
by: Brady, Christopher, et al.
Published: (2025)

Benchmarking LLAMA Model Security Against OWASP Top 10 For LLM Applications
by: Shahin, Nourin, et al.
Published: (2026)

Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
by: Tran-The, Hung, et al.
Published: (2020)

Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions
by: Perera, Kokila Kasuni, et al.
Published: (2025)

Reinforcement Learning for Accelerated Aerodynamic Shape Optimisation
by: Sobieczky, Florian, et al.
Published: (2025)

Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs
by: Valdettaro, Filippo, et al.
Published: (2024)

Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
by: Moss, Henry B., et al.
Published: (2025)

Scalable Quantum Optimisation using HADOF: Hamiltonian Auto-Decomposition Optimisation Framework
by: Sankar, Namasi G, et al.
Published: (2025)

A Statistical Framework for Spatial Boundary Estimation and Change Detection: Application to the Sahel Sahara Climate Transition
by: Tivenan, Stephen, et al.
Published: (2025)

Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by: Dellaporta, Charita, et al.
Published: (2024)

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation
by: Subia-Waud, Christopher
Published: (2025)

Graph Classification with GNNs: Optimisation, Representation and Inductive Bias
by: a, P. Krishna Kumar, et al.
Published: (2024)

Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning
by: Aristodemou, Marios, et al.
Published: (2025)

HALO: Robust Out-of-Distribution Detection via Joint Optimisation
by: Keenan, Hugo Lyons, et al.
Published: (2025)

Path Integral Optimiser: Global Optimisation via Neural Schrödinger-Föllmer Diffusion
by: McGuinness, Max, et al.
Published: (2025)

ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution
by: Yu, Sungduk, et al.
Published: (2024)