Convergence analysis of stochastic higher-order majorization–minimization algorithms
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Convergence analysis of stochastic higher-order majorization–minimization algorithms
Authors
Keywords
-
Journal
OPTIMIZATION METHODS & SOFTWARE
Volume -, Issue -, Pages 1-30
Publisher
Informa UK Limited
Online
2023-09-25
DOI
10.1080/10556788.2023.2256447
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Local convergence of tensor methods
- (2021) Nikita Doikov et al. MATHEMATICAL PROGRAMMING
- General Convergence Analysis of Stochastic First-Order Methods for Composite Optimization
- (2021) Ion Necoara JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Smoothness Parameter of Power of Euclidean Norm
- (2020) Anton Rodomanov et al. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS
- Inexact basic tensor methods for some classes of convex optimization problems
- (2020) Yurii Nesterov OPTIMIZATION METHODS & SOFTWARE
- Convergence of Stochastic Proximal Gradient Algorithm
- (2019) Lorenzo Rosasco et al. APPLIED MATHEMATICS AND OPTIMIZATION
- Implementable tensor methods in unconstrained convex optimization
- (2019) Yurii Nesterov MATHEMATICAL PROGRAMMING
- A concise second-order complexity analysis for unconstrained optimization using high-order regularized models
- (2019) C. Cartis et al. OPTIMIZATION METHODS & SOFTWARE
- Exact and inexact subsampled Newton methods for optimization
- (2018) Raghu Bollapragada et al. IMA JOURNAL OF NUMERICAL ANALYSIS
- IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate
- (2018) Aryan Mokhtari et al. SIAM JOURNAL ON OPTIMIZATION
- Optimization Methods for Large-Scale Machine Learning
- (2018) Léon Bottou et al. SIAM REVIEW
- Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models
- (2016) E. G. Birgin et al. MATHEMATICAL PROGRAMMING
- Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
- (2015) Julien Mairal SIAM JOURNAL ON OPTIMIZATION
- Gradient methods for minimizing composite functions
- (2012) Yu. Nesterov MATHEMATICAL PROGRAMMING
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Parallel and distributed optimization methods for estimation and control in networks
- (2011) Ion Necoara et al. JOURNAL OF PROCESS CONTROL
- Robust Stochastic Approximation Approach to Stochastic Programming
- (2009) A. Nemirovski et al. SIAM JOURNAL ON OPTIMIZATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started