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Wenlong Lyu

2 accepted papers

2023

Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs

NeurIPS 2023poster

Bayesian Optimization (BO) is a sample-efficient optimization algorithm widely employed across various applications. In some challenging BO tasks, input uncertainty arises due to the inevitable randomness in the optimization process, such as machining errors, execution noise, or contextual variabili…

Cited by 1SourcePDFScholar
2018

Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design

ICML 2018oral

Bayesian optimization methods are promising for the optimization of black-box functions that are expensive to evaluate. In this paper, a novel batch Bayesian optimization approach is proposed. The parallelization is realized via a multi-objective ensemble of multiple acquisition functions. In each i…