A new family of information-based acquisition functions for Bayesian optimization is derived from the alpha-divergence, with an efficient Gaussian approximation and an ensemble variant that matches or beats existing methods in most tested settings.
Martinez-Cantin, Bayesian optimization with adaptive kernels for robot control, in: 2017 IEEE international conference on robotics and automation (ICRA), IEEE, 2017, pp
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Alpha Entropy Search for New Information-based Bayesian Optimization
A new family of information-based acquisition functions for Bayesian optimization is derived from the alpha-divergence, with an efficient Gaussian approximation and an ensemble variant that matches or beats existing methods in most tested settings.