Benjamin Grimmer

33 papers A* 1A 1B 1Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps. INFORMS J. Optim. Benjamin Grimmer, Kevin Shu, Alex L. Wang
2025	J	`jnl`	An Elementary Proof of the Near Optimality of LogSumExp Smoothing. CoRR Thabo Samakhoana, Benjamin Grimmer
2025	J	`jnl`	First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points. SIAM J. Optim. Zhichao Jia, Benjamin Grimmer
2025	J	`jnl`	Goldstein stationarity in Lipschitz constrained optimization. Optim. Lett. Benjamin Grimmer, Zhichao Jia
2025	J	`jnl`	Some primal-dual theory for subgradient methods for strongly convex optimization. Math. Program. Benjamin Grimmer, Danlin Li
2024	J	`jnl`	On optimal universal first-order methods for minimizing heterogeneous sums. Optim. Lett. Benjamin Grimmer
2024	J	`jnl`	On the Linear Convergence of Extragradient Methods for Nonconvex-Nonconcave Minimax Problems. INFORMS J. Optim. Saeed Hajizadeh, Haihao Lu, Benjamin Grimmer
2024	J	`jnl`	Provably Faster Gradient Descent via Long Steps. SIAM J. Optim. Benjamin Grimmer
2024	J	`jnl`	Radial duality part I: foundations. Math. Program. Benjamin Grimmer
2024	J	`jnl`	Radial duality part II: applications and algorithms. Math. Program. Benjamin Grimmer
2023	J	`jnl`	Gauges and Accelerated Optimization over Smooth and/or Strongly Convex Sets. CoRR Ning Liu, Benjamin Grimmer
2023	J	`jnl`	General Hölder Smooth Convergence Rates Follow from Specialized Rates Assuming Growth Bounds. J. Optim. Theory Appl. Benjamin Grimmer
2023	J	`jnl`	Optimal Convergence Rates for the Proximal Bundle Method. SIAM J. Optim. Mateo Díaz, Benjamin Grimmer
2023	J	`jnl`	Provably Faster Gradient Descent via Long Steps. CoRR Benjamin Grimmer
2023	J	`jnl`	Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates. SIAM J. Optim. Lijun Ding, Benjamin Grimmer
2023	J	`jnl`	Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization. CoRR Benjamin Grimmer, Danlin Li
2023	J	`jnl`	The landscape of the proximal point method for nonconvex-nonconcave minimax optimization. Math. Program. Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab Mirrokni
2022	J	`jnl`	A Simple Nearly Optimal Restart Scheme For Speeding Up First-Order Methods. Found. Comput. Math. James Renegar, Benjamin Grimmer
2022	B	`conf`	Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems. ALT Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni
2020	J	`jnl`	Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems. CoRR Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni
2020	J	`jnl`	The Landscape of Nonconvex-Nonconcave Minimax Optimization. CoRR Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni
2019	J	`jnl`	Convergence Rates for Deterministic and Stochastic Subgradient Methods without Lipschitz Continuity. SIAM J. Optim. Benjamin Grimmer
2019	J	`jnl`	Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems. SIAM J. Optim. Damek Davis, Benjamin Grimmer
2018	J	`jnl`	Dual-Based Approximation Algorithms for Cut-Based Network Connectivity Problems. Algorithmica Benjamin Grimmer
2018	J	`jnl`	Radial Subgradient Method. SIAM J. Optim. Benjamin Grimmer
2017	J	`jnl`	Convergence Rates for Deterministic and Stochastic Subgradient Methods Without Lipschitz Continuity. CoRR Benjamin Grimmer
2017	—	`conf`	Economic inefficiency in resource allocation games. Allerton Praneeth Tota, Sanjiv Kapoor, Benjamin Grimmer
2017	J	`jnl`	Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems. CoRR Damek Davis, Benjamin Grimmer
2016	J	`jnl`	Improved approximation algorithms for single-tiered relay placement. J. Comb. Optim. Gruia Calinescu, Benjamin Grimmer, Satyajayant Misra, Sutep Tongngam, Guoliang Xue, Weiyi Zhang
2016	A*	`conf`	Nash equilibrium and the price of anarchy in priority based network routing. INFOCOM Benjamin Grimmer, Sanjiv Kapoor
2015	J	`jnl`	Dual-Fitting Approximation Algorithms for Network Connectivity Problems. CoRR Benjamin Grimmer
2014	A	`conf`	Design and evaluation of the gemtc framework for GPU-enabled many-task computing. HPDC Scott J. Krieder, Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Benjamin Grimmer, Ian T. Foster, Ioan Raicu
2014	—	`conf`	Near linear time 5/3-approximation algorithms for two-level power assignment problems. FOMC Benjamin Grimmer, Kan Qiao