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General Hölder Smooth Convergence Rates Follow from ...RePEc: Research Papers in Economics
ideas.repec.org
von B Grimmer · · Zitiert von: 2 — Benjamin Grimmer, "General Hölder Smooth Convergence Rates Follow from Specialized Rates Assuming Growth Bounds," Journal of Optimization Theory and ... von B Grimmer · · Zitiert von: 2 — Benjamin Grimmer, "General Hölder Smooth Convergence Rates Follow from Specialized Rates Assuming Growth Bounds," Journal of Optimization Theory and ...
Research and PublicationsMassachusetts Institute of Technology
web.mit.edu
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems, Benjamin Grimmer, Haihao Lu, Pratik Worah and Vahab Mirrokni. Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems, Benjamin Grimmer, Haihao Lu, Pratik Worah and Vahab Mirrokni.
Ben Grimmer CVCornell University
www.orie.cornell.edu
“Radial Subgradient Method”. Benjamin Grimmer. SIAM Journal on Optimization (2018), 28(1), 459–469. “Dual-Based Approximation Algorithms for Cut-Based Network ... “Radial Subgradient Method”. Benjamin Grimmer. SIAM Journal on Optimization (2018), 28(1), 459–469. “Dual-Based Approximation Algorithms for Cut-Based Network ...
Zhichao JiaZhichao Jia
zhichao-jia.github.io
Benjamin Grimmer, Z. Jia “First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points”. Z. Jia ... Benjamin Grimmer, Z. Jia “First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points”. Z. Jia ...
[ ] Limiting Behaviors of Nonconvex-Nonconcave Minimax...
arxiv.org
Title:Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems. Authors:Benjamin Grimmer, Haihao ...
The Landscape of the Proximal Point Method for Nonconvex ...
or.clemson.edu
von B Grimmer · · Zitiert von: 9 — The Landscape of the Proximal Point Method for. Nonconvex-Nonconcave Minimax Optimization. Benjamin Grimmer. PhD Student. › uploads ›
Benjamin GrimmerJohns Hopkins Whiting School of Engineering
engineering.jhu.edu
Benjamin Grimmer, an assistant professor of applied mathematics and statistics, focuses on the design and analysis of algorithms for continuous optimization ... Benjamin Grimmer, an assistant professor of applied mathematics and statistics, focuses on the design and analysis of algorithms for continuous optimization ...
Benjamin GrimmerJohns Hopkins University
www.ams.jhu.edu
Benjamin Grimmer. arXiv: Part I, Part II. The Landscape of the Proximal Point Method for Nonconvex-Nonconcave Minimax Optimization, Mathematical Programming ... Benjamin Grimmer. arXiv: Part I, Part II. The Landscape of the Proximal Point Method for Nonconvex-Nonconcave Minimax Optimization, Mathematical Programming ... Research · Teaching · Talks
Design of New Nonsmooth Optimization Algorithms - ISMP 2024ISMP 2024
ismp2024.gerad.ca
Benjamin Grimmer, Johns Hopkins University. Constrained optimization problems where both the objective and constraints may be nonsmooth and nonconvex arise ... Benjamin Grimmer, Johns Hopkins University. Constrained optimization problems where both the objective and constraints may be nonsmooth and nonconvex arise ...
Limiting Behaviors of Nonconvex-Nonconcave Minimax ...Proceedings of Machine Learning Research
proceedings.mlr.press
von B Grimmer · · Zitiert von: 9 — Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems. Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab Mirrokni. von B Grimmer · · Zitiert von: 9 — Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems. Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab Mirrokni.
PubPeer - Search publications and join the conversation.PubPeer
www.pubpeer.com
On optimal universal first-order methods for minimizing heterogeneous sums. Benjamin Grimmer. Optimization Letters (2024) 0 comments. You have not yet ... On optimal universal first-order methods for minimizing heterogeneous sums. Benjamin Grimmer. Optimization Letters (2024) 0 comments. You have not yet ...
Radial Subgradient Method | SIAM Journal on OptimizationSIAM Publications Library
epubs.siam.org
von B Grimmer · · Zitiert von: 18 — Benjamin Grimmer. Abstract. We extend the classic convergence rate theory for subgradient methods to apply to non-Lipschitz functions. For the deterministic ... von B Grimmer · · Zitiert von: 18 — Benjamin Grimmer. Abstract. We extend the classic convergence rate theory for subgradient methods to apply to non-Lipschitz functions. For the deterministic ...
Some Primal-Dual Theory for Subgradient Methods ...Optimization Online
optimization-online.org
Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization. Published: , Updated: ; Benjamin Grimmer · Danlin Li ... Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization. Published: , Updated: ; Benjamin Grimmer · Danlin Li ...
Topics in Classical and Quantum Optimization: Complexity ...Inspire HEP
inspirehep.net
— 235 pages. Supervisors: Amitabh Basu. ,. Benjamin Grimmer. Thesis: PhD. Johns Hopkins U. (main). (2024). Published: Mar 26, links cite — 235 pages. Supervisors: Amitabh Basu. ,. Benjamin Grimmer. Thesis: PhD. Johns Hopkins U. (main). (2024). Published: Mar 26, links cite
Benjamin Grimmer - Google 学术搜索Google Scholar
scholar.google.com.hk
Benjamin Grimmer. Assistant Professor, Johns Hopkins University. 在 jhu.edu 的电子邮件经过验证 - 首页 · Optimization. 文章引用次数开放获取的出版 ...
Benjamin Grimmer - Google Scholar
scholar.google.com
Benjamin Grimmer. Assistant Professor, Johns Hopkins University. Verified email at jhu.edu - Homepage. Optimization. Articles Cited by Public access. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; Proximally guided s ...
Benjamin Grimmer - Google Scholarscholar.google.com › citations
scholar.google.com
Benjamin Grimmer. Assistant Professor, Johns Hopkins University. Verified email at jhu.edu - Homepage · Optimization. ArticlesCited byPublic ...
Benjamin Grimmer
easychair.org
IOS2020: INFORMS OPTIMIZATION SOCIETY CONFERENCE PROGRAMAUTHORSKEYWORDS. Benjamin Grimmer. Organization: Cornell University ...
General Holder Smooth Convergence Rates Follow From ...Researcher
www.researcher-app.com
OC]). Benjamin Grimmer. Often in the analysis of first-order methods for both smooth and nonsmooth optimization, assuming the existence of a growth/error ...
NSF Award Searchwww.nsf.gov › awardsearch › showAward
www.nsf.gov
AP · Benjamin Grimmer "Radial Subgradient Method" SIAM Journal on Optimization , v.28 p James Renegar "Accelerated first-order ...
Revisiting Spectral Bundle Methods: Primal-Dual (Sub) ...SIAM Publications Library
epubs.siam.org
Benjamin Grimmer. Abstract. Abstract. We study convergence rates of the classic proximal bundle method for a variety of nonsmooth convex optimization problems ...
Radial Subgradient Method | SIAM Journal on Optimizationepubs.siam.org › doi
epubs.siam.org
Benjamin Grimmer. Abstract. We extend the classic convergence rate theory for subgradient methods to apply to non-Lipschitz functions. For the deterministic ...
A Simple Nearly-Optimal Restart Scheme For Speeding-Up First Order...
scirate.com
James Renegar,; Benjamin Grimmer. We present a simple scheme for restarting first-order methods for convex optimization problems. Restarts ...
General Convergence Rates Follow From Specialized Rates ...www.optimization-online.org › DB_FILE ›
optimization-online.org
Benjamin Grimmer. ∗. Abstract. Often in the analysis of first-order methods, assuming the existence of a quadratic growth bound (a generalization of strong ...
Publications - Damek Davis
damek.github.io
Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems. Damek Davis, Benjamin Grimmer SIAM Journal on Optimization (to appear) [code]. › publicati...
OPT Optimization for Machine Learningopt-ml.org › oldopt › opt19 › papers
opt-ml.org
... Ding (Cornell University) and Benjamin Grimmer (); Escaping Saddle Points with Inequality Constraints via Noisy Sticky Projected Gradient Descent — Dmitrii ...
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