Cover Image

High Probability Guarantees for Random Reshuffling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Hengxu, Li, Xiao
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control Machine Learning 90C30, 90C06, 90C26, 90C15
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stochastic First-Order Methods with Non-smooth and Non-Euclidean Proximal Terms for Nonconvex High-Dimensional Stochastic Optimization
by: Xie, Yue, et al.
Published: (2024)

Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
by: Higuchi, Rei, et al.
Published: (2024)

On Tackling High-Dimensional Nonconvex Stochastic Optimization via Stochastic First-Order Methods with Non-smooth Proximal Terms and Variance Reduction
by: Xie, Yue, et al.
Published: (2025)

A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
by: Qiu, Junwen, et al.
Published: (2023)

A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods
by: Qiu, Junwen, et al.
Published: (2024)

Alternating minimization for square root principal component pursuit
by: Deng, Shengxiang, et al.
Published: (2024)

Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
by: Fatkhullin, Ilyas, et al.
Published: (2025)

New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications
by: Wang, Xuejie, et al.
Published: (2023)

Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning
by: Qiu, Junwen, et al.
Published: (2026)

A Generalized Version of Chung's Lemma and its Applications
by: Jiang, Li, et al.
Published: (2024)

On convergence of a $q$-random coordinate constrained algorithm for non-convex problems
by: Ghaffari-Hadigheh, Alireza, et al.
Published: (2022)

Random Reshuffling with Momentum for Nonconvex Problems: Iteration Complexity and Last Iterate Convergence
by: Qiu, Junwen, et al.
Published: (2024)

A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers
by: Menickelly, Matt, et al.
Published: (2023)

MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-Regularized Optimization
by: Li, Luxuan, et al.
Published: (2026)

Randomized block proximal method with locally Lipschitz continuous gradient
by: Pérez-Aros, Pedro, et al.
Published: (2025)

Stability and convergence analysis of AdaGrad for non-convex optimization via novel stopping time-based techniques
by: Jin, Ruinan, et al.
Published: (2024)

Effective Front-Descent Algorithms with Convergence Guarantees
by: Lapucci, Matteo, et al.
Published: (2024)

Stochastic Optimization under Hidden Convexity
by: Fatkhullin, Ilyas, et al.
Published: (2023)

Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
by: Jin, Ruinan, et al.
Published: (2026)

Optimization without Retraction on the Random Generalized Stiefel Manifold
by: Vary, Simon, et al.
Published: (2024)

Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
by: Lin, Zhenwei, et al.
Published: (2022)

A New Kernel Regularity Condition for Distributed Mirror Descent: Broader Coverage and Simpler Analysis
by: Qiu, Junwen, et al.
Published: (2026)

Two trust region type algorithms for solving nonconvex-strongly concave minimax problems
by: Yao, Tongliang, et al.
Published: (2024)

Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems
by: Wang, Jun-Lin, et al.
Published: (2024)

A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems
by: Wang, Junlin, et al.
Published: (2024)

Level Constrained First Order Methods for Function Constrained Optimization
by: Boob, Digvijay, et al.
Published: (2022)

Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
by: Takahashi, Shota, et al.
Published: (2025)

PANOC-lite: A simpler and more efficient algorithm for composite minimization
by: Bodard, Alexander, et al.
Published: (2026)

Fully First-Order Methods for Decentralized Bilevel Optimization
by: Wang, Xiaoyu, et al.
Published: (2024)

ZOBA: An Efficient Single-loop Zeroth-order Bilevel Optimization Algorithm
by: Rando, Marco, et al.
Published: (2026)

Combining Gradient Information and Primitive Directions for High-Performance Mixed-Integer Optimization
by: Lapucci, Matteo, et al.
Published: (2024)

A new envelope function for nonsmooth DC optimization
by: Themelis, Andreas, et al.
Published: (2020)

Operation of an ambulance fleet under uncertainty
by: Guigues, Vincent, et al.
Published: (2022)

Decentralized projected Riemannian stochastic recursive momentum method for nonconvex optimization
by: Deng, Kangkang, et al.
Published: (2024)

A Surrogate Value Function Formulation for Bilevel Optimization
by: Xu, Mengwei, et al.
Published: (2025)

A Normal Map-Based Proximal Stochastic Gradient Method: Convergence and Identification Properties
by: Qiu, Junwen, et al.
Published: (2023)

Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems
by: Lapucci, Matteo, et al.
Published: (2024)

Convergence Conditions for Stochastic Line Search Based Optimization of Over-parametrized Models
by: Lapucci, Matteo, et al.
Published: (2024)

Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees
by: Lu, Zhaosong, et al.
Published: (2024)

Nonlinear constrained optimization of Schur test functions
by: Anikushin, Mikhail, et al.
Published: (2025)