Benjamin Grimmer
Benjamin Grimmer
Assistant Professor, Johns Hopkins University
Verified email at - Homepage
Cited by
Cited by
Proximally guided stochastic subgradient method for nonsmooth, nonconvex problems
D Davis, B Grimmer
SIAM Journal on Optimization 29 (3), 1908-1930, 2019
Design and evaluation of the gemtc framework for gpu-enabled many-task computing
SJ Krieder, JM Wozniak, T Armstrong, M Wilde, DS Katz, B Grimmer, ...
Proceedings of the 23rd international symposium on High-performance parallel …, 2014
Analytics for application programming interfaces
Q Zhu, T Tung, B Grimmer
US Patent 9,146,787, 2015
A simple nearly optimal restart scheme for speeding up first-order methods
J Renegar, B Grimmer
foundations of computational mathematics 22 (1), 211-256, 2022
Convergence rates for deterministic and stochastic subgradient methods without Lipschitz continuity
B Grimmer
SIAM Journal on Optimization 29 (2), 1350-1365, 2019
The landscape of the proximal point method for nonconvex–nonconcave minimax optimization
B Grimmer, H Lu, P Worah, V Mirrokni
Mathematical Programming 201 (1), 373-407, 2023
Optimal convergence rates for the proximal bundle method
M Díaz, B Grimmer
SIAM Journal on Optimization 33 (2), 424-454, 2023
Radial subgradient method
B Grimmer
SIAM Journal on Optimization 28 (1), 459-469, 2018
Revisiting spectral bundle methods: Primal-dual (sub) linear convergence rates
L Ding, B Grimmer
SIAM Journal on Optimization 33 (2), 1305-1332, 2023
Understanding the costs of many-task computing workloads on intel xeon phi coprocessors
J Johnson, SJ Krieder, B Grimmer, JM Wozniak, M Wilde, I Raicu
2nd Greater Chicago Area System Research Workshop (GCASR), 2013
Provably faster gradient descent via long steps
B Grimmer
arXiv preprint arXiv:2307.06324, 2023
Limiting behaviors of nonconvex-nonconcave minimax optimization via continuous-time systems
B Grimmer, H Lu, P Worah, V Mirrokni
International Conference on Algorithmic Learning Theory, 465-487, 2022
On the linear convergence of extragradient methods for nonconvex–nonconcave minimax problems
S Hajizadeh, H Lu, B Grimmer
INFORMS Journal on Optimization 6 (1), 19-31, 2024
Enabling dynamic memory management support for mtc on nvidia gpus
B Grimmer, S Krieder, I Raicu
EuroSys Poster Session, 2013
Accelerated gradient descent via long steps
B Grimmer, K Shu, AL Wang
arXiv preprint arXiv:2309.09961, 2023
Radial duality part II: applications and algorithms
B Grimmer
Mathematical Programming, 1-37, 2023
General hölder smooth convergence rates follow from specialized rates assuming growth bounds
B Grimmer
Journal of Optimization Theory and Applications 197 (1), 51-70, 2023
First-order methods for nonsmooth nonconvex functional constrained optimization with or without slater points
Z Jia, B Grimmer
arXiv preprint arXiv:2212.00927, 2022
Improved approximation algorithms for single-tiered relay placement
G Calinescu, B Grimmer, S Misra, S Tongngam, G Xue, W Zhang
Journal of Combinatorial Optimization 31 (3), 1280-1297, 2016
Near linear time 5/3-approximation algorithms for two-level power assignment problems
B Grimmer, K Qiao
Proceedings of the 10th ACM international workshop on Foundations of mobile …, 2014
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