- Home
- Publications
- Publication Search
- Publication Details
Title
A frequency-domain analysis of inexact gradient methods
Authors
Keywords
-
Journal
MATHEMATICAL PROGRAMMING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-05-25
DOI
10.1007/s10107-021-01665-8
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Robust and structure exploiting optimisation algorithms: an integral quadratic constraint approach
- (2020) Simon Michalowsky et al. INTERNATIONAL JOURNAL OF CONTROL
- Analysis of biased stochastic gradient descent using sequential semidefinite programs
- (2020) Bin Hu et al. MATHEMATICAL PROGRAMMING
- Efficient first-order methods for convex minimization: a constructive approach
- (2019) Yoel Drori et al. MATHEMATICAL PROGRAMMING
- Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition
- (2019) Huaqing Xiong et al. AUTOMATICA
- Exact Worst-Case Convergence Rates of the Proximal Gradient Method for Composite Convex Minimization
- (2018) Adrien B. Taylor et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems
- (2018) Mahyar Fazlyab et al. SIAM JOURNAL ON OPTIMIZATION
- Exact Worst-Case Performance of First-Order Methods for Composite Convex Optimization
- (2017) Adrien B. Taylor et al. SIAM JOURNAL ON OPTIMIZATION
- Exponential Decay Rate Conditions for Uncertain Linear Systems Using Integral Quadratic Constraints
- (2016) Bin Hu et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Guaranteed Matrix Completion via Non-Convex Factorization
- (2016) Ruoyu Sun et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- On the Convergence Analysis of the Optimized Gradient Method
- (2016) Donghwan Kim et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Smooth strongly convex interpolation and exact worst-case performance of first-order methods
- (2016) Adrien B. Taylor et al. MATHEMATICAL PROGRAMMING
- On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions
- (2016) Etienne de Klerk et al. Optimization Letters
- Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints
- (2016) Laurent Lessard et al. SIAM JOURNAL ON OPTIMIZATION
- A Less Conservative LMI Condition for Stability of Discrete-Time Systems With Slope-Restricted Nonlinearities
- (2015) N. Syazreen Ahmad et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Phase Retrieval via Wirtinger Flow: Theory and Algorithms
- (2015) Emmanuel J. Candes et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Optimized first-order methods for smooth convex minimization
- (2015) Donghwan Kim et al. MATHEMATICAL PROGRAMMING
- Performance of first-order methods for smooth convex minimization: a novel approach
- (2013) Yoel Drori et al. MATHEMATICAL PROGRAMMING
- First-order methods of smooth convex optimization with inexact oracle
- (2013) Olivier Devolder et al. MATHEMATICAL PROGRAMMING
- Hybrid Deterministic-Stochastic Methods for Data Fitting
- (2012) Michael P. Friedlander et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Smooth Optimization with Approximate Gradient
- (2008) Alexandre d'Aspremont SIAM JOURNAL ON OPTIMIZATION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More