most citedParallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization

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cs.LG2023

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation

Fengxue Zhang, Jialin Song, James Bowden +4

We study Bayesian optimization (BO) in high-dimensional and non-stationary scenarios. Existing algorithms for such scenarios typically require extensive hyperparameter tuning, whic…

cs.LG2012★ 69 cited

Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization

Thomas Desautels, Andreas Krause, Joel Burdick

Can one parallelize complex exploration exploitation tradeoffs? As an example, consider the problem of optimal high-throughput experimental design, where we wish to sequentially de…