Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications

arXiv:2605.00068 · cs.LG, cs.AI, physics.plasm-ph · Submitted 2026-04-30 · Read on arXiv

cs.LG, cs.AI, physics.plasm-ph

Submitted: 2026-04-30

Updated: 2026-09-12

Comments: Accepted at IJCAI 2026 (35th International Joint Conference on Artificial Intelligence)

Code: https://github.com/ma921/CoExBO

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Bayesian Optimization — 28× in this paper · explained in 3 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Human-in-the-Loop — 12× in this paper · explained in 3 episodes
• Inertial Confinement Fusion — 11× in this paper
• Meta-learning — 11× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Acquisition Function — 7× in this paper · explained in 1 episode
• Explainability — 7× in this paper · explained in 3 episodes
• Regret — 7× in this paper · explained in 3 episodes
• Sample Efficiency — 7× in this paper · explained in 4 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Transformer — 6× in this paper · explained in 2 episodes
• Adam — 5× in this paper · explained in 2 episodes
• Shapley values — 5× in this paper · explained in 2 episodes
• Transfer Learning — 5× in this paper · explained in 10 episodes
• Expected Improvement — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Bayesian Optimization (BO) — 2× in this paper · explained in 3 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Local Interpretable Model-Agnostic Explanations — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Explainable Bayesian Optimization
• Prior knowledge elicitation: The past, present, and future
• Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization

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