A pytorch implementation of Deep Networks for Global Optimization proposed in 'Scalable Bayesian Optimization Using Deep Neural Networks'[Snoek 2015]. A one dimensional test case is provided. The Design of Experiment is performed by the python library pyDOE.
The result of the 1D test case is given hereafter:
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a pytorch implementation of Deep Networks for Global Optimization proposed in [Snoek 2015]
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JCNNBY/DNGO
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a pytorch implementation of Deep Networks for Global Optimization proposed in [Snoek 2015]
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