A CMA-ES-based affine transformation lets pre-trained random forest surrogates transfer to related target tasks using tens of samples, beating from-scratch models in many low-data benchmarks.
Recent advances in surrogate-based optimization,
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Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks
A CMA-ES-based affine transformation lets pre-trained random forest surrogates transfer to related target tasks using tens of samples, beating from-scratch models in many low-data benchmarks.