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2020 – today
- 2024
[j15]Saeed Hajizadeh
, Haihao Lu, Benjamin Grimmer:
On the Linear Convergence of Extragradient Methods for Nonconvex-Nonconcave Minimax Problems. INFORMS J. Optim. 6(1): 19-31 (2024)- [j14]Benjamin Grimmer:
Radial duality part I: foundations. Math. Program. 205(1): 33-68 (2024) - [j13]Benjamin Grimmer:
Radial duality part II: applications and algorithms. Math. Program. 205(1): 69-105 (2024) - [j12]Benjamin Grimmer:
On optimal universal first-order methods for minimizing heterogeneous sums. Optim. Lett. 18(2): 427-445 (2024) - [j11]Benjamin Grimmer:
Provably Faster Gradient Descent via Long Steps. SIAM J. Optim. 34(3): 2588-2608 (2024) - 2023
- [j10]Benjamin Grimmer:
General Hölder Smooth Convergence Rates Follow from Specialized Rates Assuming Growth Bounds. J. Optim. Theory Appl. 197(1): 51-70 (2023) - [j9]Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab Mirrokni:
The landscape of the proximal point method for nonconvex-nonconcave minimax optimization. Math. Program. 201(1): 373-407 (2023) - [j8]Mateo Díaz, Benjamin Grimmer:
Optimal Convergence Rates for the Proximal Bundle Method. SIAM J. Optim. 33(2): 424-454 (2023) - [j7]Lijun Ding, Benjamin Grimmer:
Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates. SIAM J. Optim. 33(2): 1305-1332 (2023) - [i8]Ning Liu, Benjamin Grimmer:
Gauges and Accelerated Optimization over Smooth and/or Strongly Convex Sets. CoRR abs/2303.05037 (2023) - [i7]Benjamin Grimmer, Danlin Li:
Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization. CoRR abs/2305.17323 (2023) - [i6]Benjamin Grimmer:
Provably Faster Gradient Descent via Long Steps. CoRR abs/2307.06324 (2023) - 2022
- [j6]James Renegar, Benjamin Grimmer:
A Simple Nearly Optimal Restart Scheme For Speeding Up First-Order Methods. Found. Comput. Math. 22(1): 211-256 (2022) - [c5]Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni:
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems. ALT 2022: 465-487 - 2020
- [i5]Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni:
The Landscape of Nonconvex-Nonconcave Minimax Optimization. CoRR abs/2006.08667 (2020) - [i4]Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni:
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems. CoRR abs/2010.10628 (2020)
2010 – 2019
- 2019
- [j5]Benjamin Grimmer:
Convergence Rates for Deterministic and Stochastic Subgradient Methods without Lipschitz Continuity. SIAM J. Optim. 29(2): 1350-1365 (2019) - [j4]Damek Davis, Benjamin Grimmer:
Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems. SIAM J. Optim. 29(3): 1908-1930 (2019) - 2018
- [j3]Benjamin Grimmer:
Dual-Based Approximation Algorithms for Cut-Based Network Connectivity Problems. Algorithmica 80(10): 2849-2873 (2018) - [j2]Benjamin Grimmer:
Radial Subgradient Method. SIAM J. Optim. 28(1): 459-469 (2018) - 2017
- [c4]Praneeth Tota, Sanjiv Kapoor, Benjamin Grimmer:
Economic inefficiency in resource allocation games. Allerton 2017: 708-715 - [i3]Damek Davis, Benjamin Grimmer:
Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems. CoRR abs/1707.03505 (2017) - [i2]Benjamin Grimmer:
Convergence Rates for Deterministic and Stochastic Subgradient Methods Without Lipschitz Continuity. CoRR abs/1712.04104 (2017) - 2016
- [j1]Gruia Calinescu, Benjamin Grimmer, Satyajayant Misra, Sutep Tongngam, Guoliang Xue, Weiyi Zhang:
Improved approximation algorithms for single-tiered relay placement. J. Comb. Optim. 31(3): 1280-1297 (2016) - [c3]Benjamin Grimmer, Sanjiv Kapoor:
Nash equilibrium and the price of anarchy in priority based network routing. INFOCOM 2016: 1-9 - 2015
- [i1]Benjamin Grimmer:
Dual-Fitting Approximation Algorithms for Network Connectivity Problems. CoRR abs/1508.05567 (2015) - 2014
- [c2]Benjamin Grimmer, Kan Qiao:
Near linear time 5/3-approximation algorithms for two-level power assignment problems. FOMC 2014: 29-38 - [c1]Scott J. Krieder, Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Benjamin Grimmer, Ian T. Foster, Ioan Raicu:
Design and evaluation of the gemtc framework for GPU-enabled many-task computing. HPDC 2014: 153-164
Coauthor Index
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