Benjamin Grimmer

According to our database, Benjamin Grimmer authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Radial duality part II: applications and algorithms.

Benjamin Grimmer

Math. Program., May, 2024

Radial duality part I: foundations.

Benjamin Grimmer

Math. Program., May, 2024

On optimal universal first-order methods for minimizing heterogeneous sums.

Benjamin Grimmer

Optim. Lett., March, 2024

On the Linear Convergence of Extragradient Methods for Nonconvex-Nonconcave Minimax Problems.

Saeed Hajizadeh, Haihao Lu, Benjamin Grimmer

INFORMS J. Optim., January, 2024

2023

Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates.

Lijun Ding, Benjamin Grimmer

SIAM J. Optim., June, 2023

General Hölder Smooth Convergence Rates Follow from Specialized Rates Assuming Growth Bounds.

Benjamin Grimmer

J. Optim. Theory Appl., April, 2023

Optimal Convergence Rates for the Proximal Bundle Method.

Mateo Díaz, Benjamin Grimmer

SIAM J. Optim., 2023

The landscape of the proximal point method for nonconvex-nonconcave minimax optimization.

Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab Mirrokni

Math. Program., 2023

Provably Faster Gradient Descent via Long Steps.

Benjamin Grimmer

CoRR, 2023

Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization.

Benjamin Grimmer, Danlin Li

CoRR, 2023

Gauges and Accelerated Optimization over Smooth and/or Strongly Convex Sets.

Ning Liu, Benjamin Grimmer

CoRR, 2023

2022

A Simple Nearly Optimal Restart Scheme For Speeding Up First-Order Methods.

James Renegar, Benjamin Grimmer

Found. Comput. Math., 2022

Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems.

Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2020

The Landscape of Nonconvex-Nonconcave Minimax Optimization.

Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni

CoRR, 2020

2019

Convergence Rates for Deterministic and Stochastic Subgradient Methods without Lipschitz Continuity.

Benjamin Grimmer

SIAM J. Optim., 2019

Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems.

Damek Davis, Benjamin Grimmer

SIAM J. Optim., 2019

2018

Radial Subgradient Method.

Benjamin Grimmer

SIAM J. Optim., 2018

Dual-Based Approximation Algorithms for Cut-Based Network Connectivity Problems.

Benjamin Grimmer

Algorithmica, 2018

2017

Economic inefficiency in resource allocation games.

Praneeth Tota, Sanjiv Kapoor, Benjamin Grimmer

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Improved approximation algorithms for single-tiered relay placement.

Gruia Calinescu, Benjamin Grimmer, Satyajayant Misra, Sutep Tongngam, Guoliang Xue, Weiyi Zhang

J. Comb. Optim., 2016

Nash equilibrium and the price of anarchy in priority based network routing.

Benjamin Grimmer, Sanjiv Kapoor

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015

Dual-Fitting Approximation Algorithms for Network Connectivity Problems.

Benjamin Grimmer

CoRR, 2015

2014

Design and evaluation of the gemtc framework for GPU-enabled many-task computing.

Scott J. Krieder, Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Benjamin Grimmer, Ian T. Foster, Ioan Raicu

Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014

Near linear time 5/3-approximation algorithms for two-level power assignment problems.

Benjamin Grimmer, Kan Qiao

Proceedings of the 10th ACM International Workshop on Foundations of Mobile Computing, 2014