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Bolong Cheng

2 accepted papers

2021

Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design

ICML 2021spotlight

Many problems in engineering design and simulation require balancing competing objectives under the presence of uncertainty. Sample-efficient multiobjective optimization methods focus on the objective function values in metric space and ignore the sampling behavior of the design configurations in pa…

Cited by 32SourcePDFScholar
2020

Efficient Rollout Strategies for Bayesian Optimization

UAI 2020poster

Bayesian optimization (BO) is a class of sample-efficient global optimization methods, where a probabilistic model conditioned on previous observations is used to determine future evaluations via the optimization of an acquisition function. Most acquisition functions are myopic, meaning that they on…