2 papers
cs.LG2026
Optimization of time-consuming experimental conditions using pseudo-experimental data guided by adaptive polynomial regression
Hirotaka Sugawara, Yujin Taguchi, Kei Minagawa +3
Bayesian optimization (BO) is an optimization method that sequentially proposes the next candidate explainable variables for optimizing target variables by balancing exploration an…
cs.LG2024
Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource$\unicode{x2013}$constrained Conditions
Yujin Taguchi, Yusuke Shibuya, Yusuke Hiki +3
Bayesian optimization is efficient even with a small amount of data and is used in engineering and in science, including biology and chemistry. In Bayesian optimization, a paramete…