3 papers
cs.LG2026
Importance-Aware Scheduling for High-Dimensional Hyperparameter Optimization
Ruinan Wang, Ian Nabney, Mohammad Golbabaee
Hyperparameter Optimization (HPO) is essential for building high-performing ML/DL models, yet conventional optimizers often struggle in high-dimensional spaces where evaluations ar…
cs.LG2025
Grouped Sequential Optimization Strategy -- the Application of Hyperparameter Importance Assessment in Deep Learning
Ruinan Wang, Ian Nabney, Mohammad Golbabaee
Hyperparameter optimization (HPO) is a critical component of machine learning pipelines, significantly affecting model robustness, stability, and generalization. However, HPO is of…
cs.LG2024
Efficient Hyperparameter Importance Assessment for CNNs
Ruinan Wang, Ian Nabney, Mohammad Golbabaee
Hyperparameter selection is an essential aspect of the machine learning pipeline, profoundly impacting models' robustness, stability, and generalization capabilities. Given the com…