17 citations · 18 across the 4 of their papers we have counts for
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cs.LG2025
An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization
Jundi Huang, Dawei Zhan
Bayesian optimization (BO) is a widely used algorithm for solving expensive black-box optimization problems. However, its performance decreases significantly on high-dimensional pr…
cs.LG2024★ 1 cited
Scalable Batch Bayesian Optimization Via Subspace Acquisition Functions
Dawei Zhan, Zhaoxi Zeng, Shuoxiao Wei +1
Extending Bayesian optimization to batch evaluation can enable the designer to make the most use of parallel computing technology. However, most of current batch approaches do not…
cs.LG2024★ 17 cited
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
Dawei Zhan
Bayesian optimization (BO) algorithm is very popular for solving low-dimensional expensive optimization problems. Extending Bayesian optimization to high dimension is a meaningful…