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Benjamin Grimmer
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25
Some Unified Theory for Variance Reduced Prox-Linear Methods
19 December 2024 by
Yue Wu
and
Benjamin Grimmer
at
Johns Hopkins University
Optimization and Control
Beyond Minimax Optimality: A Subgame Perfect Gradient Method
9 December 2024 by
Benjamin Grimmer
and
others
Optimization and Control
Performance Estimation for Smooth and Strongly Convex Sets
18 November 2024 by
Alan Luner
and
Benjamin Grimmer
Optimization and Control
Composing Optimized Stepsize Schedules for Gradient Descent
21 October 2024 by
Benjamin Grimmer
and
others
at
Johns Hopkins University
Optimization and Control
Goldstein Stationarity in Lipschitz Constrained Optimization
14 August 2024 by
Benjamin Grimmer
and
Zhichao Jia
at
Georgia Institute of Technology
Optimization and Control
Gauges and Accelerated Optimization over Smooth and/or Strongly Convex Sets
20 July 2024 by
Ning Liu
and
Benjamin Grimmer
at
Johns Hopkins University
Optimization and Control
,
Machine Learning
A Strengthened Conjecture on the Minimax Optimal Constant Stepsize for Gradient Descent
16 July 2024 by
Benjamin Grimmer
and
others
at
Georgia Institute of Technology
Optimization and Control
Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization
27 June 2024 by
Benjamin Grimmer
and
Danlin Li
at
Johns Hopkins University
Optimization and Control
,
Machine Learning
Scalable Projection-Free Optimization Methods via MultiRadial Duality Theory
29 April 2024 by
Thabo Samakhoana
and
Benjamin Grimmer
Optimization and Control
Accelerated Objective Gap and Gradient Norm Convergence for Gradient Descent via Long Steps
12 April 2024 by
Benjamin Grimmer
and
others
Optimization and Control
First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points
15 March 2024 by
Zhichao Jia
and
Benjamin Grimmer
Optimization and Control
On Averaging and Extrapolation for Gradient Descent
26 February 2024 by
Alan Luner
and
Benjamin Grimmer
Optimization and Control
Provably Faster Gradient Descent via Long Steps
5 February 2024 by
Benjamin Grimmer
Optimization and Control
,
Machine Learning
Accelerated Gradient Descent via Long Steps
27 September 2023 by
Benjamin Grimmer
and
others
Optimization and Control
Optimal Convergence Rates for the Proximal Bundle Method
1 May 2023 by
Mateo Díaz
and
Benjamin Grimmer
Optimization and Control
On the Linear Convergence of Extra-Gradient Methods for Nonconvex-Nonconcave Minimax Problems
5 March 2023 by
Saeed Hajizadeh
and
others
Optimization and Control
General Holder Smooth Convergence Rates Follow From Specialized Rates Assuming Growth Bounds
8 January 2023 by
Benjamin Grimmer
Optimization and Control
On Optimal Universal First-Order Methods for Minimizing Heterogeneous Sums
23 October 2022 by
Benjamin Grimmer
Optimization and Control
Revisit of Spectral Bundle Methods: Primal-dual (Sub)linear Convergence Rates
15 November 2021 by
Lijun Ding
and
Benjamin Grimmer
Optimization and Control
Radial Duality Part II: Applications and Algorithms
9 May 2021 by
Benjamin Grimmer
Optimization and Control
Radial Duality Part I: Foundations
9 May 2021 by
Benjamin Grimmer
Optimization and Control
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems
4 March 2021 by
Benjamin Grimmer
and
others
Optimization and Control
,
Machine Learning
The Landscape of the Proximal Point Method for Nonconvex-Nonconcave Minimax Optimization
28 December 2020 by
Benjamin Grimmer
and
others
Optimization and Control
,
Machine Learning
A Simple Nearly-Optimal Restart Scheme For Speeding-Up First Order Methods
21 October 2020 by
James Renegar
and
Benjamin Grimmer
Optimization and Control
Bundle Method Sketching for Low Rank Semidefinite Programming
17 August 2020 by
Lijun Ding
and
Benjamin Grimmer
Optimization and Control
,
Machine Learning
General Convergence Rates Follow From Specialized Rates Assuming Growth Bounds
15 May 2019 by
Benjamin Grimmer
Optimization and Control
Convergence Rates for Deterministic and Stochastic Subgradient Methods Without Lipschitz Continuity
21 December 2017 by
Benjamin Grimmer
Optimization and Control
,
Machine Learning
Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems
27 July 2017 by
Damek Davis
and
Benjamin Grimmer
Optimization and Control
,
Machine Learning
Radial Subgradient Method
25 July 2017 by
Benjamin Grimmer
Optimization and Control
Dual-Based Approximation Algorithms for Cut-Based Network Connectivity Problems
20 July 2017 by
Benjamin Grimmer
Data Structures and Algorithms
,
Discrete Mathematics
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Optimization and Control
Machine Learning
Numerical Analysis
Data Structures and Algorithms
Discrete Mathematics