1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2024
Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective
Shuhei Watanabe
Expected Improvement (EI) is arguably the most widely used acquisition function in Bayesian optimization. However, it is often challenging to enhance the performance with EI due to…
cs.AI2023★ 1 cited
Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs
Shuhei Watanabe
Hyperparameter optimization is crucial to achieving high performance in deep learning. On top of the performance, other criteria such as inference time or memory requirement often…