Author

Ethan Errington

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Jul 2026

Transfer Learning Architectures for Scalable Multi-Fidelity Bayesian Optimization

This work benchmarks eleven transfer-learning surrogates against four GP methods under an identical selection rule, fidelity budget, and model size, across nine tasks spanning synthetic functions to real chemistry and materials problems, where transfer-learning surrogates reach substantially better solutions using far...

Jaewook Lee, Ethan Errington, Christian D. Lorenz et al. · arXiv.org · 0 citations