19 citations · 51 across the 14 of their papers we have counts for
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cs.LG2023★ 1 cited
From Random Search to Bandit Learning in Metric Measure Spaces
Chuying Han, Yasong Feng, Tianyu Wang
Random Search is one of the most widely-used method for Hyperparameter Optimization, and is critical to the success of deep learning models. Despite its astonishing performance, li…
cs.LG2023★ 1 cited
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
Yasong Feng, Weijian Luo, Yimin Huang +1
One of the most critical problems in machine learning is HyperParameter Optimization (HPO), since choice of hyperparameters has a significant impact on final model performance. Alt…