2 citations · 5 across the 24 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018
Using Known Information to Accelerate HyperParameters Optimization Based on SMBO
Cheng Daning, Zhang Hanping, Xia Fen +2
Automl is the key technology for machine learning problem. Current state of art hyperparameter optimization methods are based on traditional black-box optimization methods like SMB…
cs.LG2018★ 2 cited
Asynch-SGBDT: Asynchronous Parallel Stochastic Gradient Boosting Decision Tree based on Parameters Server
Cheng Daning, Xia Fen, Li Shigang +1
In AI research and industry, machine learning is the most widely used tool. One of the most important machine learning algorithms is Gradient Boosting Decision Tree, i.e. GBDT whos…