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Continuous multi-fidelity optimization
Hyperband-based Bayesian Optimization for Efficient Black-box Prompt Selection
Bayesian Optimization
Improving Multi-fidelity Optimization with a Recurring Learning rate for Hyperparameter Tuning
Multi-fidelity Bayesian machine learning for global optimization
Mixed online offline multi-fidelity optimization (lab experiments guided by simulations)
Multi-Fidelity Reinforcement Learning for Time-Optimal Quadrotor Re-planning
Less work, Better data: How machine learning improves your experiments
A LLM Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms
Session 7B: Incorporating LLMs into the Bayesian Optimization Process for Airfoil Design
Multi-Objective, Multi-Fidelity, and Multi-Task Gaussian Processes and Bayesian Optimization
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Last Updated: August 16, 2026
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