2 papers
cs.AI2026
DASH: Decoupled Adaptive Surrogate - Acquisition Harness for Automated Bayesian Optimization
Changquan Zhao, Yuxiang Sun, Ruihao Zhu +2
Bayesian optimization (BO) relies on a surrogate model and an acquisition function, yet the most suitable choices vary across tasks and optimization stages. Automated Bayesian opti…
cs.LG2026
CatBOX: A Categorical-Continuous Bayesian Optimization with Spectral Mixture Kernels for Accelerated Catalysis Experiments
Changquan Zhao, Yi Zhang, Zhuo Li +3
Identifying optimal catalyst compositions and reaction conditions is central in catalysis research, yet remains challenging due to the vast multidimensional design spaces encompass…