Cover Image

An Adaptive Proximal Point Method for Nonsmooth and Nonconvex Optimization on Hadamard Manifolds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Amaral, Vitaliano S., Bortoloti, Marcio Antônio de A., Lopes, Jurandir O., Silva, Gilson N.
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Adaptive Proximal ADMM for Nonconvex Linearly Constrained Composite Programs
by: Maia, Leandro Farias, et al.
Published: (2024)

Proximal Dogleg Opportunistic Majorization for Nonconvex and Nonsmooth Optimization
by: Zhou, Yiming, et al.
Published: (2024)

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
by: Wang, Qingsong, et al.
Published: (2024)

A Bregman Regularized Proximal Point Method for Solving Equilibrium Problems on Hadamard Manifolds
by: Sharma, Shikher, et al.
Published: (2026)

First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points
by: Jia, Zhichao, et al.
Published: (2022)

A Simple Adaptive Proximal Gradient Method for Nonconvex Optimization
by: Ye, Zilong, et al.
Published: (2025)

The Stochastic Multi-Proximal Method for Nonsmooth Optimization
by: Condat, Laurent, et al.
Published: (2025)

A Hybrid Subgradient Method for Nonsmooth Nonconvex Bilevel Optimization
by: Xiao, Nachuan, et al.
Published: (2025)

Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
by: Ding, Kuangyu, et al.
Published: (2024)

Coderivative-Based Newton Methods in Structured Nonconvex and Nonsmooth Optimization
by: Khanh, Pham Duy, et al.
Published: (2024)

Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
by: Sahinoglu, Emre, et al.
Published: (2025)

NonOpt: Nonconvex, Nonsmooth Optimizer
by: Curtis, Frank E., et al.
Published: (2025)

Variational Analysis of a Nonconvex and Nonsmooth Optimization Problem: An Introduction
by: Royset, Johannes O.
Published: (2024)

Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
by: Xiao, Nachuan, et al.
Published: (2024)

An Adaptive Cubic Regularization quasi-Newton Method on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2024)

Deterministic Nonsmooth Nonconvex Optimization
by: Jordan, Michael I., et al.
Published: (2023)

Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
by: Marrinan, Luke, et al.
Published: (2023)

Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)

Proximal Gradient Descent Ascent Methods for Nonsmooth Nonconvex-Concave Minimax Problems on Riemannian Manifolds
by: Xie, Xiyuan, et al.
Published: (2025)

Smoothing Accelerated Proximal Gradient Method with Backtracking for Nonsmooth Multiobjective Optimization
by: Chengzhi, Huang
Published: (2025)

A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
by: Wei, Jiazhen, et al.
Published: (2025)

Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms
by: Shi, Jinyang, et al.
Published: (2026)

A Newton-Like Dynamical System for Nonsmooth and Nonconvex Optimization
by: Garrido, Juan Guillermo, et al.
Published: (2024)

Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

Proximal Limited-Memory Quasi-Newton Methods for Nonsmooth Nonconvex Optimization
by: Dahl, Simeon vom, et al.
Published: (2026)

Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization
by: Jiang, Ruichen, et al.
Published: (2026)

Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
by: Zhu, Linglingzhi, et al.
Published: (2026)

Nonconvex Nonsmooth Multicomposite Optimization and Its Applications to Recurrent Neural Networks
by: Jin, Lingzi, et al.
Published: (2025)

Inexact Zeroth-Order Nonsmooth and Nonconvex Stochastic Composite Optimization and Applications
by: Pougkakiotis, Spyridon, et al.
Published: (2025)

A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
by: Zeng, Yuxuan, et al.
Published: (2024)

On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization
by: Kornowski, Guy, et al.
Published: (2024)

An Efficient ADMM Method for Ratio-Type Nonconvex and Nonsmooth Minimization in Sparse Recovery
by: Yu, Lang, et al.
Published: (2025)

An Adaptive Regularized Proximal Newton-Type Methods for Composite Optimization over the Stiefel Manifold
by: Wang, Qinsi, et al.
Published: (2024)

Radial Epiderivative Based Line Search Methods in Nonconvex and Nonsmooth Box-Constrained Optimization
by: Kasimbeyli, Refail, et al.
Published: (2025)

Stochastic Subgradient Methods with Guaranteed Global Stability in Nonsmooth Nonconvex Optimization
by: Xiao, Nachuan, et al.
Published: (2023)

Radial Epiderivative Based Fritz John and KKT Conditions in Nonsmooth Nonconvex Optimization
by: Kasimbeyli, Refail, et al.
Published: (2025)

Revisiting Randomized Smoothing: Nonsmooth Nonconvex Optimization Beyond Global Lipschitz Continuity
by: Xia, Jingfan, et al.
Published: (2025)

Learning-rate-free Momentum SGD with Reshuffling Converges in Nonsmooth Nonconvex Optimization
by: Hu, Xiaoyin, et al.
Published: (2024)

A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization
by: Diouane, Youssef, et al.
Published: (2024)

A Retraction-free Method for Nonsmooth Minimax Optimization over a Compact Manifold
by: Aybat, Necdet Serhat, et al.
Published: (2025)