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Anh Tran and Julien Tranchida - Multi-fidelity and parallel machine-learning approaches
2021 3.3 Data efficient Optimization with Bayesian Optimization - Roberto Calandra
Bayesian Optimization
Sequential Multi‑Fidelity Bayesian Optimization for LLM Data Mixtures
AL4MS 2023: Ulpu Remes lecture
Tom Savage - Multi-Fidelity Data-Driven Design and Analysis of Reactor and Tube Simulations (DARTS)
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization
Zi Wang - Bayesian Optimization for Global Optimization of Expensive Black-box Functions
Hyperband-based Bayesian Optimization for Efficient Black-box Prompt Selection
Improving Multi-fidelity Optimization with a Recurring Learning rate for Hyperparameter Tuning
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Last Updated: August 22, 2026
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