A simple dynamic bandit algorithm for ...

Document type :
Communication dans un congrès avec actes
Title :
A simple dynamic bandit algorithm for hyper-parameter tuning
Author(s) :
Shang, Xuedong [Auteur]
Sequential Learning [SEQUEL]
Kaufmann, Emilie [Auteur] refId
Sequential Learning [SEQUEL]
Valko, Michal [Auteur] refId
Sequential Learning [SEQUEL]
DeepMind [Paris]
Conference title :
Workshop on Automated Machine Learning at International Conference on Machine Learning
Conference organizers(s) :
AutoML@ICML 2019 - 6th ICML Workshop on Automated Machine Learning
City :
Long Beach
Country :
Etats-Unis d'Amérique
Start date of the conference :
2019-06-14
HAL domain(s) :
Statistiques [stat]/Machine Learning [stat.ML]
English abstract : [en]
Hyper-parameter tuning is a major part of modern machine learning systems. The tuning itself can be seen as a sequential resource allocation problem. As such, methods for multi-armed bandits have been already applied. In ...
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Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Harvested from HAL
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