2 papers
cs.LG2019
Constrained Multi-Objective Optimization for Automated Machine Learning
Steven Gardner, Oleg Golovidov, Joshua Griffin +4
Automated machine learning has gained a lot of attention recently. Building and selecting the right machine learning models is often a multi-objective optimization problem. General…
cs.LG2018
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning
Patrick Koch, Oleg Golovidov, Steven Gardner +3
Machine learning applications often require hyperparameter tuning. The hyperparameters usually drive both the efficiency of the model training process and the resulting model quali…