| Strategies for protecting supply chain networks against facility and transportation disruptions: an improved Benders decomposition approach N Azad, GKD Saharidis, H Davoudpour, H Malekly, SA Yektamaram Annals of Operations Research 210, 125-163, 2013 | 155 | 2013 |
| A matrix-free line-search algorithm for nonconvex optimization W Zhou, IG Akrotirianakis, S Yektamaram, JD Griffin Optimization Methods and Software 34 (1), 1-24, 2019 | 11 | 2019 |
| Accelerating configuration of machine-learning models R Shi, S Yektamaram, Y Xu US Patent 10,776,721, 2020 | 5 | 2020 |
| Deep learning model training system YX Ben-hao Wang, Joshua David Griffin, Seyedalireza Yektamaram US Patent 10,769,528, 2020 | 4 | 2020 |
| Optimization algorithms for machine learning designed for parallel and distributed environments S Yektamaram Lehigh University, 2018 | 3 | 2018 |
| Deep learning model training system J Forristal, JD Griffin, S Yektamaram, Z Wenwen US Patent 11,727,274, 2023 | 1 | 2023 |
| Simultaneous iterative solutions for the trust-region and minimum eigenvalue subproblem IG Akrotirianakis, M Gratton, JD Griffin, S Yektamaram, W Zhou Optimization Methods and Software 37 (2), 692-711, 2022 | 1 | 2022 |
| Optimal number of threads determination system Y Gao, JD Griffin, YM Lin, Y Xu, S Yektamaram, AA Ankulkar, A Sharma, ... US Patent 11,635,988, 2023 | | 2023 |
| A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization J Forristal, J Griffin, W Zhou, S Yektamaram arXiv preprint arXiv:2204.09116, 2022 | | 2022 |
| Deep learning model training system M Jahani, JD Griffin, S Yektamaram, Z Wenwen US Patent 10,949,747, 2021 | | 2021 |
| A minibatch stochastic Quasi-Newton method adapted for nonconvex deep learning problems JD Griffina, M Jahanib, M Takáčc, S Yektamarama, W Zhoua | | |
Joshua D GriffinSAS Institute Inc.Verified email at sas.com
