ACTS improves Thompson sampling in high-dimensional Bayesian optimization by adaptively reducing the search space using gradients from surrogate samples to produce better maximizer samples.
G aussian process optimization in the bandit setting: no regret and experimental design
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Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
ACTS improves Thompson sampling in high-dimensional Bayesian optimization by adaptively reducing the search space using gradients from surrogate samples to produce better maximizer samples.