To tune or not to tune? An Approach for Recommending Important Hyperparameters.

Mohamadjavad Bahmani Radwa El Shawi Nshan Potikyan Sherif Sakr

Published in: CoRR (2021)

Keyphrases

hyperparameters
model selection
cross validation
support vector
em algorithm
bayesian framework
gaussian process
closed form
prior information
gaussian processes
bayesian inference
noise level
maximum a posteriori
parameter settings
random sampling
support vector machine
high dimensional
pairwise