Joshua Griffin

According to our database, Joshua Griffin authored at least 6 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Simultaneous iterative solutions for the trust-region and minimum eigenvalue subproblem.

I. G. Akrotirianakis, M. Gratton, Joshua Griffin, Seyed Alireza Yektamaram, Wenwen Zhou

Optim. Methods Softw., 2022

A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization.

Jarad Forristal, Joshua Griffin, Wenwen Zhou, Seyed Alireza Yektamaram

CoRR, 2022

2019

A matrix-free line-search algorithm for nonconvex optimization.

Wenwen Zhou, I. G. Akrotirianakis, Seyed Alireza Yektamaram, Joshua Griffin

Optim. Methods Softw., 2019

High-Performance Support Vector Machines and Its Applications.

Taiping He, Tao Wang, Ralph Abbey, Joshua Griffin

CoRR, 2019

Constrained Multi-Objective Optimization for Automated Machine Learning.

Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning.

Patrick Koch, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin, Yan Xu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018