J. Griffin

发表

Nonlinearly-constrained optimization using asynchronous parallel generating set search.

T. Kolda, J. Griffin, 2007 .

Iterative Methods for Finding a Trust-region Step

Philip E. Gill, Jennifer B. Erway, Joshua D. Griffin, 2009, SIAM J. Optim..

Iterative Solution of Augmented Systems Arising in Interior Methods

Anders Forsgren, Philip E. Gill, Joshua D. Griffin, 2007, SIAM J. Optim..

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

J. Griffin, Jarad Forristal, Wenwen Zhou, 2022, 2204.09116.

A GLOBALLY CONVERGENT MODIFIED CONJUGATE-GRADIENT LINE-SEARCH ALGORITHM WITH INERTIA CONTROLLING

J. Griffin, I. Akrotirianakis, Wenwen Zhou, 2009 .

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

J. Griffin, I. Akrotirianakis, W. Zhou, 2020, Optim. Methods Softw..

Asynchronous parallel pattern search in the context of a globally convergent augmented Lagrangian method.

Tamara G. Kolda, Joshua D. Griffin, T. Kolda, 2006 .

A primal–dual modified log-barrier method for inequality constrained nonlinear optimization

J. Griffin, Riadh Omheni, 2020, Optimization Letters.

HOPSPACK: Hybrid Optimization Parallel Search Package.

Tamara G. Kolda, Matt Taddy, Genetha Anne Gray, 2008 .

An Asynchronous Parallel Hybrid Optimization Approach To Simulation-Based Mixed-Integer Nonlinear Problems

Genetha Anne Gray, Katie Fowler, Joshua D. Griffin, 2011 .

Bayesian Guided Pattern Search for Robust Local Optimization

Herbert K. H. Lee, Joshua D. Griffin, Genetha A. Gray, 2009, Technometrics.

DAKOTA , A Multilevel Parallel Object-Oriented Framework for Design Optimization , Parameter Estimation , Uncertainty Quantification , and Sensitivity Analysis Version 4 . 0 User ’ s Manual

Michael S. Eldred, Daniel M. Dunlavy, William E. Hart, 2006 .

Derivative-Free Optimization Via Evolutionary Algorithms Guiding Local Search

Genetha Anne Gray, Thomas Hemker, K. R. Fowler, 2011 .

Asynchronous parallel hybrid optimization combining DIRECT and GSS

Tamara G. Kolda, Joshua D. Griffin, T. Kolda, 2010, Optim. Methods Softw..

A Parallel, Asynchronous Method for Derivative-Free Nonlinear Programs

Tamara G. Kolda, Joshua D. Griffin, T. Kolda, 2006, ICMS.

Asynchronous Parallel Generating Set Search for Linearly Constrained Optimization

Tamara G. Kolda, Robert Michael Lewis, Joshua D. Griffin, 2008, SIAM J. Sci. Comput..

Hybrid optimization schemes for simulation-based problems

Joshua D. Griffin, Genetha A. Gray, Kathleen R. Fowler, 2010, ICCS.

Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning

Yan Xu, Patrick Koch, Oleg Golovidov, 2018, KDD.

A matrix-free line-search algorithm for nonconvex optimization

J. D. Griffin, W. Zhou, I. G. Akrotirianakis, 2019, Optim. Methods Softw..

Using an iterative linear solver in an interior-point method for generating support vector machines

Joshua D. Griffin, E. Michael Gertz, E. Gertz, 2010, Comput. Optim. Appl..

Constrained Multi-Objective Optimization for Automated Machine Learning

Yan Xu, Wayne Thompson, Patrick Koch, 2019, 2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

A primal–dual modified log-barrier method for inequality constrained nonlinear optimization

Riadh Omheni, Joshua Griffin, J. Griffin, 2020, Optimization Letters.

Nonlinearly Constrained Optimization Using Heuristic Penalty Methods and Asynchronous Parallel Generating Set Search

Joshua D. Griffin, Tamara G. Kolda, T. Kolda, 2010 .

Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations

Roummel F. Marcia, Jennifer B. Erway, Joshua D. Griffin, 2018, Optim. Methods Softw..

Trust-Region Optimization Methods Using Limited-Memory Symmetric Rank-One Updates for Off-The-Shelf Machine Learning

Roummel F. Marcia, Jennifer B. Erway, J. Griffin, 2017 .