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MetaBO - Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization

This is the source code accompanying the paper Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization by Volpp et al., ICLR 2020. The paper can be found here. The code allows to reproduce the results from the paper and to train neural acquisition functions on new problems.

PLEASE NOTE: THE CODE HAS BEEN MOVED TO A NEW REPOSITORY AT boschresearch

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