4 citations · 8 across the 4 of their papers we have counts for
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2 papers · 1 filter
stat.ML2020★ 2 cited
Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization
Yang Yang, Ke Deng, Michael Zhu
Hyperparameters play a critical role in the performances of many machine learning methods. Determining their best settings or Hyperparameter Optimization (HPO) faces difficulties p…
stat.ME2020★ 4 cited
Stratification and Optimal Resampling for Sequential Monte Carlo
Yichao Li, Wenshuo Wang, Ke Deng +1
Sequential Monte Carlo (SMC), also known as particle filters, has been widely accepted as a powerful computational tool for making inference with dynamical systems. A key step in S…