Joshua D Griffin
Joshua D Griffin
Verified email at
Cited by
Cited by
Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.13 User's …
B Adams, W Bohnhoff, K Dalbey, M Ebeida, J Eddy, M Eldred, R Hooper, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020
Bayesian guided pattern search for robust local optimization
MA Taddy, HKH Lee, GA Gray, JD Griffin
Technometrics 51 (4), 389-401, 2009
Bayesian guided pattern search for robust local optimization
MA Taddy, HKH Lee, GA Gray, JD Griffin
Technometrics 51 (4), 389-401, 2009
Asynchronous parallel generating set search for linearly constrained optimization
JD Griffin, TG Kolda, RM Lewis
SIAM Journal on Scientific Computing 30 (4), 1892-1924, 2008
Genome-Wide Association Study of Resistance to Soybean Cyst Nematode (Heterodera glycines) HG Type 2.5.7 in Wild Soybean (Glycine soja)
H Zhang, C Li, EL Davis, J Wang, JD Griffin, J Kofsky, BH Song
Frontiers in plant science 7, 1214, 2016
Iterative methods for finding a trust-region step
JB Erway, PE Gill, JD Griffin
SIAM Journal on Optimization 20 (2), 1110-1131, 2009
Iterative solution of augmented systems arising in interior methods
A Forsgren, PE Gill, JD Griffin
SIAM Journal on Optimization 18 (2), 666-690, 2007
Autotune: A derivative-free optimization framework for hyperparameter tuning
P Koch, O Golovidov, S Gardner, B Wujek, J Griffin, Y Xu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Distributed hyperparameter tuning system for machine learning
PN Koch, BA Wujek, OB Golovidov, SJ Gardner, JD Griffin, SR Pope, Y Xu
US Patent 10,360,517, 2019
Combining monolithic zirconia crowns, digital impressioning, and regenerative cement for a predictable restorative alternative to PFM
JDJ Griffin
Compendium 34 (3), 2013
Asynchronous parallel hybrid optimization combining DIRECT and GSS
JD Griffin, TG Kolda
Optimization Methods & Software 25 (5), 797-817, 2010
Nonlinearly constrained optimization using heuristic penalty methods and asynchronous parallel generating set search
JD Griffin, TG Kolda
Applied Mathematics Research eXpress 2010 (1), 36-62, 2010
Genetic architecture of wild soybean (Glycine soja) response to soybean cyst nematode (Heterodera glycines)
H Zhang, Q Song, JD Griffin, BH Song
Molecular Genetics and Genomics 292 (6), 1257-1265, 2017
Nonlinearly-constrained optimization using asynchronous parallel generating set search.
JD Griffin, TG Kolda
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2007
Extracting clusters from large datasets with multiple similarity measures using IMSCAND
TM Selee, TG Kolda, WP Kegelmeyer, JD Griffin
CSRI Summer Proceedings, 87-103, 2007
Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations
JB Erway, J Griffin, RF Marcia, R Omheni
Optimization Methods and Software 35 (3), 460-487, 2020
Support vector machine classifiers for large data sets.
EM Gertz, JD Griffin
Argonne National Lab.(ANL), Argonne, IL (United States), 2006
Hybrid optimization schemes for simulation-based problems
GA Gray, K Fowler, JD Griffin
Procedia Computer Science 1 (1), 1349-1357, 2010
Derivative-free optimization via evolutionary algorithms guiding local search
JD Griffin, KR Fowler, GA Gray, T Hemker, MD Parno
Sandia National Laboratories, Albuquerque, NM, Tech. Rep. SAND2010-3023J, 2010
Using an iterative linear solver in an interior-point method for generating support vector machines
EM Gertz, JD Griffin
Computational Optimization and Applications 47 (3), 431-453, 2010
The system can't perform the operation now. Try again later.
Articles 1–20