84 citations · 86 across the 4 of their papers we have counts for
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math.NA2018★ 1 cited
Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations
Jennifer B. Erway, Joshua Griffin, Roummel F. Marcia +1
Machine learning (ML) problems are often posed as highly nonlinear and nonconvex unconstrained optimization problems. Methods for solving ML problems based on stochastic gradient d…
cs.LG2018★ 84 cited
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…