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Xuan Zeng

2 accepted papers

2024

Exploring High-dimensional Search Space via Voronoi Graph Traversing

UAI 2024poster

Bayesian optimization (BO) is a well-established methodology for optimizing costly black-box functions. However, the sparse observations in the high-dimensional search space pose challenges in constructing reliable Gaussian Process (GP) models, which leads to blind exploration of the search space. W…

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…