16 citations · 17 across the 3 of their papers we have counts for
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stat.ML2020★ 1 cited
Practical Bayesian Optimization of Objectives with Conditioning Variables
Michael Pearce, Janis Klaise, Matthew Groves
Bayesian optimization is a class of data efficient model based algorithms typically focused on global optimization. We consider the more general case where a user is faced with mul…
stat.ML2018★ 16 cited
Efficient and Scalable Batch Bayesian Optimization Using K-Means
Matthew Groves, Edward O. Pyzer-Knapp
We present K-Means Batch Bayesian Optimization (KMBBO), a novel batch sampling algorithm for Bayesian Optimization (BO). KMBBO uses unsupervised learning to efficiently estimate pe…