3 citations · 7 across the 4 of their papers we have counts for
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cs.LG2022★ 2 cited
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
Kirill Antonov, Elena Raponi, Hao Wang +1
Bayesian Optimization (BO) is a surrogate-based global optimization strategy that relies on a Gaussian Process regression (GPR) model to approximate the objective function and an a…
cs.NE2022★ 2 cited
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features
Ana Kostovska, Anja Jankovic, Diederick Vermetten +4
Per-instance algorithm selection seeks to recommend, for a given problem instance and a given performance criterion, one or several suitable algorithms that are expected to perform…