Imagen de Portada

Single-loop $\mathcal{O}(ε^{-3})$ stochastic smoothing algorithms for nonsmooth Riemannian optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Deng, Kangkang, Peng, Zheng, Wu, Weihe
Formato:	Preprint
Publicado:	2025
Materias:	Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Single-loop Stochastic Riemannian ADMM for Nonsmooth Optimization
por: Jin, Jiachen, et al.
Publicado: (2025)

Stochastic ADMM with batch size adaptation for nonconvex nonsmooth optimization
por: Jin, Jiachen, et al.
Publicado: (2025)

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

On some perturbation properties of nonsmooth optimization on Riemannian manifolds with applications
por: Zhou, Yuexin, et al.
Publicado: (2023)

Variable smoothing algorithm for inner-loop-free DC composite optimizations
por: Yazawa, Kumataro, et al.
Publicado: (2025)

Projected proximal gradient trust-region algorithm for nonsmooth optimization
por: Dao, Minh N., et al.
Publicado: (2025)

A smoothing Anderson acceleration algorithm for nonsmooth fixed point problem with linear convergence
por: Li, Zekai, et al.
Publicado: (2024)

Approximate propagation of normal distributions for stochastic optimal control of nonsmooth systems
por: Messerer, Florian, et al.
Publicado: (2023)

On the robust isolated calmness of a class of nonsmooth optimizations on Riemannian manifolds and its applications
por: Bao, Chenglong, et al.
Publicado: (2022)

A restricted memory quasi-Newton bundle method for nonsmooth optimization on Riemannian manifolds
por: Tang, Chunming, et al.
Publicado: (2024)

A variable smoothing for Nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering
por: Kume, Keita, et al.
Publicado: (2023)

Stochastic smoothing accelerated gradient method for general constrained nonsmooth convex composite optimization
por: Wang, Ruyu, et al.
Publicado: (2023)

Improving the communication in decentralized manifold optimization through single-step consensus and compression
por: Hu, Jiang, et al.
Publicado: (2024)

Hypodifferentials of nonsmooth convex functions and their applications to nonsmooth convex optimization
por: Dolgopolik, M. V.
Publicado: (2023)

Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
por: Deng, Kangkang, et al.
Publicado: (2025)

Theoretical smoothing frameworks for nonsmooth simple bilevel problems
por: Alcantara, Jan Harold, et al.
Publicado: (2024)

Variable Bregman Majorization-Minimization algorithms for nonconvex nonsmooth optimization, with application to Poisson imaging
por: Adly, Maxence, et al.
Publicado: (2026)

An effective subgradient algorithm via Mifflin's line search for nonsmooth nonconvex multiobjective optimization
por: Maleknia, Morteza, et al.
Publicado: (2024)

Oracle complexities of augmented Lagrangian methods for nonsmooth manifold optimization
por: Deng, Kangkang, et al.
Publicado: (2024)

Stochastic momentum ADMM for nonconvex and nonsmooth optimization with application to PnP algorithm
por: Deng, Kangkang, et al.
Publicado: (2025)

A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization
por: Liu, Wei, et al.
Publicado: (2025)

A projection-free dynamics for nonsmooth composite optimization
por: Ni, Wei, et al.
Publicado: (2025)

Relations between nonsmooth vector variational inequalities and nonsmooth vector optimization problems on Hadamard manifold in terms of bifunction
por: Singh, Nagendra, et al.
Publicado: (2024)

Local adapt-then-combine algorithms for distributed nonsmooth optimization: Achieving provable communication acceleration
por: Guo, Luyao, et al.
Publicado: (2026)

A descent method for nonsmooth multiobjective optimization problems on Riemannian manifolds
por: Tang, Chunming, et al.
Publicado: (2023)

Existence of optimal pairs for optimal control problems with states constrained to Riemannian manifolds
por: Deng, Li, et al.
Publicado: (2024)

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme
por: Wei, Jiazhen, et al.
Publicado: (2025)

A four-operator splitting algorithm for nonconvex and nonsmooth optimization
por: Alcantara, Jan Harold, et al.
Publicado: (2024)

A feasible smoothing accelerated projected gradient method for nonsmooth convex optimization
por: Nishioka, Akatsuki, et al.
Publicado: (2023)

Proximal methods for structured nonsmooth optimization over Riemannian submanifolds
por: Li, Qia, et al.
Publicado: (2024)

Extended alternating structure-adapted proximal gradient algorithm for nonconvex nonsmooth problems
por: Gao, Ying, et al.
Publicado: (2024)

A multilevel proximal trust-region method for nonsmooth optimization with applications
por: Baraldi, Robert, et al.
Publicado: (2025)

Solving mathematical programs with complementarity constraints arising in nonsmooth optimal control
por: Nurkanović, Armin, et al.
Publicado: (2023)

Stochastic halfspace approximation method for convex optimization with nonsmooth functional constraints
por: Singh, Nitesh Kumar, et al.
Publicado: (2024)

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

Riemannian EXTRA: Communication-efficient decentralized optimization over compact submanifolds with data heterogeneity
por: Wu, Jiayuan, et al.
Publicado: (2025)

An equivalent reformulation and multi-proximity gradient algorithms for a class of nonsmooth fractional programming
por: Zhou, Junpeng, et al.
Publicado: (2023)

Solving Convex-Concave Problems with $\tilde{\mathcal{O}}(ε^{-4/(3p+1)})$ $p$th-Order Oracle Complexity
por: Chen, Lesi, et al.
Publicado: (2026)

On invex functions with same η in single and multivalued nonsmooth optimization with Clarke's subdifferential
por: Rinne, Ville, et al.
Publicado: (2025)

Superlinear convergence in nonsmooth optimization via higher-order cutting-plane models
por: Gebken, Bennet, et al.
Publicado: (2026)