A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning

21 Jul 2020 Ankur Sinha Tanmay Khandait Raja Mohanty

Hyperparameter tuning is an active area of research in machine learning, where the aim is to identify the optimal hyperparameters that provide the best performance on the validation set. Hyperparameter tuning is often achieved using naive techniques, such as random search and grid search... (read more)

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METHOD TYPE
Random Search
Hyperparameter Search