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We introduce a method combining variational autoencoders (VAEs) and deep metric learning to perform Bayesian optimisation (BO) over high-dimensional and structured input spaces.
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Aurélien Bellet, Amaury Habrard, and Marc Sebban · 2013
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Nonlinear metric learning with kernel density estimation
Yujie He, Yi Mao, Wenlin Chen, and Yixin Chen · 2014
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Taking the human out of the loop: A review of Bayesian optimization
Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, and Nando de Freitas · 2015
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Mercer features for efficient combinatorial bayesian optimization
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