| Proximally guided stochastic subgradient method for nonsmooth, nonconvex problems D Davis, B Grimmer SIAM Journal on Optimization 29 (3), 1908-1930, 2019 | 118 | 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 | 68 | 2014 |
| Analytics for application programming interfaces Q Zhu, T Tung, B Grimmer US Patent 9,146,787, 2015 | 59 | 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 | 54 | 2022 |
| 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 | 43* | 2023 |
| Convergence rates for deterministic and stochastic subgradient methods without Lipschitz continuity B Grimmer SIAM Journal on Optimization 29 (2), 1350-1365, 2019 | 43 | 2019 |
| Provably faster gradient descent via long steps B Grimmer SIAM Journal on Optimization 34 (3), 2588-2608, 2024 | 32 | 2024 |
| Optimal convergence rates for the proximal bundle method M Díaz, B Grimmer SIAM Journal on Optimization 33 (2), 424-454, 2023 | 30 | 2023 |
| Radial subgradient method B Grimmer SIAM Journal on Optimization 28 (1), 459-469, 2018 | 19 | 2018 |
| Accelerated gradient descent via long steps B Grimmer, K Shu, AL Wang arXiv preprint arXiv:2309.09961, 2023 | 18 | 2023 |
| Revisiting spectral bundle methods: Primal-dual (sub) linear convergence rates L Ding, B Grimmer SIAM Journal on Optimization 33 (2), 1305-1332, 2023 | 18 | 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 | 13 | 2013 |
| 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 | 9 | 2024 |
| First-order methods for nonsmooth nonconvex functional constrained optimization with or without slater points Z Jia, B Grimmer arXiv preprint arXiv:2212.00927, 2022 | 9 | 2022 |
| 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 | 9 | 2022 |
| Accelerated objective gap and gradient norm convergence for gradient descent via long steps B Grimmer, K Shu, AL Wang arXiv preprint arXiv:2403.14045, 2024 | 7 | 2024 |
| On optimal universal first-order methods for minimizing heterogeneous sums B Grimmer Optimization Letters 18 (2), 427-445, 2024 | 7 | 2024 |
| 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 | 7* | 2023 |
| Enabling dynamic memory management support for mtc on nvidia gpus B Grimmer, S Krieder, I Raicu EuroSys Poster Session, 2013 | 7 | 2013 |
| Radial duality part II: applications and algorithms B Grimmer Mathematical Programming 205 (1), 69-105, 2024 | 6 | 2024 |
