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On Applications of Multi-Armed Bandit and Bayesian Optimization Approaches for AutoML Problems
DownloadSpring 2022
Automated Machine Learning (AutoML) aims to alleviate human efforts and automate the time-consuming and iterative processes in the development of machine learning methods. In this thesis, we study two AutoML tasks: automated Data Augmentation (DA) and Hyperparameter Optimization (HPO). Automated...
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