DeltaBO achieves a regret bound of order O(sqrt(T (T/N + gamma_delta))) for Bayesian optimization with knowledge transfer by modeling uncertainty on the difference function delta between source and target tasks.
C.2 Synthetic Experimental Settings For Gaussian kernel functions, the lengthscale of all kernels is 0.1, with observation noise for both source (σ2
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Provable Accelerated Bayesian Optimization with Knowledge Transfer
DeltaBO achieves a regret bound of order O(sqrt(T (T/N + gamma_delta))) for Bayesian optimization with knowledge transfer by modeling uncertainty on the difference function delta between source and target tasks.