Bayesian Contextual Bandits for Hyper Parameter Optimization

Hyper parameter optimization (HPO) is a crucial step in modern machine learning systems. Bayesian optimization (BO) has shown great promise in HPO, where the parameter evaluation is conducted through a black-box optimization procedure. However, the main drawback of BO lies in the expensive computati...

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Detaylı Bibliyografya
Asıl Yazarlar: Guoxin Sui, Yong Yu
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: IEEE 2020-01-01
Seri Bilgileri:IEEE Access
Konular:
Online Erişim:https://ieeexplore.ieee.org/document/9017927/