Transfer Learning Architectures for Scalable Multi-Fidelity Bayesian Optimization

Jaewook Lee, Ethan Errington, Christian D. Lorenz +1

Self-driving laboratories increasingly rely on multi-fidelity Bayesian optimization (MFBO) to balance cheap, approximate evaluations against scarce, expensive ones, with a predicti…