Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning. - Patrick Koch; Oleg Golovidov; Steven Gardner; Brett Wujek; Joshua Griffin; Yan Xu (KDD, 2018)

Constrained Multi-Objective Optimization for Automated Machine Learning. - Steven Gardner; Oleg Golovidov; Joshua Griffin; Patrick Koch; Wayne Thompson; Brett Wujek; Yan Xu (DSAA, 2019)

High-Performance Support Vector Machines and Its Applications. - Taiping He; Tao Wang; Ralph Abbey; Joshua Griffin (CoRR, 2019)

A matrix-free line-search algorithm for nonconvex optimization. - Wenwen Zhou 001; I. G. Akrotirianakis; Seyed Alireza Yektamaram; Joshua Griffin (Optim. Methods Softw., 2019)

A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization. - Jarad Forristal; Joshua Griffin; Wenwen Zhou 001; Seyed Alireza Yektamaram (CoRR, 2022)

Simultaneous iterative solutions for the trust-region and minimum eigenvalue subproblem. - I. G. Akrotirianakis; M. Gratton; Joshua Griffin; Seyed Alireza Yektamaram; Wenwen Zhou 001 (Optim. Methods Softw., 2022)