Adaptive selection of Gaussian process kernels and acquisition functions during Bayesian optimization yields modest improvements on synthetic benchmarks and on a solder joint reliability case study.
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Adaptive Bayesian Data-Driven Design of Reliable Solder Joints for Micro-electronic Devices
Adaptive selection of Gaussian process kernels and acquisition functions during Bayesian optimization yields modest improvements on synthetic benchmarks and on a solder joint reliability case study.