Saved in:
| Main Authors: | Curtis, Frank E., Zebiane, Lara |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.22826 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Gradient Sampling Algorithm for Noisy Nonsmooth Optimization
by: Berahas, Albert S., et al.
Published: (2026)
by: Berahas, Albert S., et al.
Published: (2026)
Active-Set Identification in Noisy and Stochastic Optimization
by: Curtis, Frank E., et al.
Published: (2025)
by: Curtis, Frank E., et al.
Published: (2025)
Deterministic Nonsmooth Nonconvex Optimization
by: Jordan, Michael I., et al.
Published: (2023)
by: Jordan, Michael I., et al.
Published: (2023)
Low-Order Explicit Hessian Imitation Method for Large-Scale Supervised Machine Learning
by: Zhu, Yunlang, et al.
Published: (2026)
by: Zhu, Yunlang, et al.
Published: (2026)
A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
by: Wei, Jiazhen, et al.
Published: (2025)
by: Wei, Jiazhen, et al.
Published: (2025)
A Hybrid Subgradient Method for Nonsmooth Nonconvex Bilevel Optimization
by: Xiao, Nachuan, et al.
Published: (2025)
by: Xiao, Nachuan, et al.
Published: (2025)
Stochastic Bregman Subgradient Methods for Nonsmooth Nonconvex Optimization Problems
by: Ding, Kuangyu, et al.
Published: (2024)
by: Ding, Kuangyu, et al.
Published: (2024)
Variational Analysis of a Nonconvex and Nonsmooth Optimization Problem: An Introduction
by: Royset, Johannes O.
Published: (2024)
by: Royset, Johannes O.
Published: (2024)
Nonsmooth Nonconvex-Concave Minimax Optimization: Convergence Criteria and Algorithms
by: Shi, Jinyang, et al.
Published: (2026)
by: Shi, Jinyang, et al.
Published: (2026)
Coderivative-Based Newton Methods in Structured Nonconvex and Nonsmooth Optimization
by: Khanh, Pham Duy, et al.
Published: (2024)
by: Khanh, Pham Duy, et al.
Published: (2024)
A Newton-Like Dynamical System for Nonsmooth and Nonconvex Optimization
by: Garrido, Juan Guillermo, et al.
Published: (2024)
by: Garrido, Juan Guillermo, et al.
Published: (2024)
Developing Lagrangian-based Methods for Nonsmooth Nonconvex Optimization
by: Xiao, Nachuan, et al.
Published: (2024)
by: Xiao, Nachuan, et al.
Published: (2024)
Proximal Dogleg Opportunistic Majorization for Nonconvex and Nonsmooth Optimization
by: Zhou, Yiming, et al.
Published: (2024)
by: Zhou, Yiming, et al.
Published: (2024)
On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
Nonconvex Nonsmooth Multicomposite Optimization and Its Applications to Recurrent Neural Networks
by: Jin, Lingzi, et al.
Published: (2025)
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)
by: Pougkakiotis, Spyridon, et al.
Published: (2025)
An Adaptive Proximal Point Method for Nonsmooth and Nonconvex Optimization on Hadamard Manifolds
by: Amaral, Vitaliano S., et al.
Published: (2025)
by: Amaral, Vitaliano S., et al.
Published: (2025)
A Unified Inexact Stochastic ADMM for Composite Nonconvex and Nonsmooth Optimization
by: Zeng, Yuxuan, et al.
Published: (2024)
by: Zeng, Yuxuan, et al.
Published: (2024)
Decentralized Nonsmooth Nonconvex Optimization with Client Sampling
by: Chen, Xinyan, et al.
Published: (2026)
by: Chen, Xinyan, et al.
Published: (2026)
Private Zeroth-Order Nonsmooth Nonconvex Optimization
by: Zhang, Qinzi, et al.
Published: (2024)
by: Zhang, Qinzi, et al.
Published: (2024)
Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)
by: Chen, Ziyi, et al.
Published: (2025)
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
by: Chen, Lesi, et al.
Published: (2023)
by: Chen, Lesi, et al.
Published: (2023)
Radial Epiderivative Based Fritz John and KKT Conditions in Nonsmooth Nonconvex Optimization
by: Kasimbeyli, Refail, et al.
Published: (2025)
by: Kasimbeyli, Refail, et al.
Published: (2025)
Revisiting Randomized Smoothing: Nonsmooth Nonconvex Optimization Beyond Global Lipschitz Continuity
by: Xia, Jingfan, et al.
Published: (2025)
by: Xia, Jingfan, et al.
Published: (2025)
Zeroth-order Gradient and Quasi-Newton Methods for Nonsmooth Nonconvex Stochastic Optimization
by: Marrinan, Luke, et al.
Published: (2023)
by: Marrinan, Luke, et al.
Published: (2023)
Learning-rate-free Momentum SGD with Reshuffling Converges in Nonsmooth Nonconvex Optimization
by: Hu, Xiaoyin, et al.
Published: (2024)
by: Hu, Xiaoyin, et al.
Published: (2024)
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
Smoothing Iterative Consensus-based Optimization Algorithm for Nonsmooth Nonconvex Optimization Problems with Global Optimality
by: Wei, Jiazhen, et al.
Published: (2025)
by: Wei, Jiazhen, et al.
Published: (2025)
First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points
by: Jia, Zhichao, et al.
Published: (2022)
by: Jia, Zhichao, et al.
Published: (2022)
Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
by: Sahinoglu, Emre, et al.
Published: (2025)
by: Sahinoglu, Emre, et al.
Published: (2025)
Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
by: Sahinoglu, Emre, et al.
Published: (2024)
by: Sahinoglu, Emre, et al.
Published: (2024)
Primal-Dual Methods for Nonsmooth Nonconvex Optimization with Orthogonality Constraints
by: Zhu, Linglingzhi, et al.
Published: (2026)
by: Zhu, Linglingzhi, et al.
Published: (2026)
Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
by: Kornowski, Guy, et al.
Published: (2023)
by: Kornowski, Guy, et al.
Published: (2023)
Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization
by: Jiang, Ruichen, et al.
Published: (2026)
by: Jiang, Ruichen, et al.
Published: (2026)
Stochastic Subgradient Methods with Guaranteed Global Stability in Nonsmooth Nonconvex Optimization
by: Xiao, Nachuan, et al.
Published: (2023)
by: Xiao, Nachuan, et al.
Published: (2023)
Radial Epiderivative Based Line Search Methods in Nonconvex and Nonsmooth Box-Constrained Optimization
by: Kasimbeyli, Refail, et al.
Published: (2025)
by: Kasimbeyli, Refail, et al.
Published: (2025)
Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis
by: Li, Jiajin, et al.
Published: (2022)
by: Li, Jiajin, et al.
Published: (2022)
An Efficient ADMM Method for Ratio-Type Nonconvex and Nonsmooth Minimization in Sparse Recovery
by: Yu, Lang, et al.
Published: (2025)
by: Yu, Lang, et al.
Published: (2025)
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems
by: Wang, Qingsong, et al.
Published: (2024)
by: Wang, Qingsong, et al.
Published: (2024)
Similar Items
-
A Gradient Sampling Algorithm for Noisy Nonsmooth Optimization
by: Berahas, Albert S., et al.
Published: (2026) -
Active-Set Identification in Noisy and Stochastic Optimization
by: Curtis, Frank E., et al.
Published: (2025) -
Deterministic Nonsmooth Nonconvex Optimization
by: Jordan, Michael I., et al.
Published: (2023) -
Low-Order Explicit Hessian Imitation Method for Large-Scale Supervised Machine Learning
by: Zhu, Yunlang, et al.
Published: (2026) -
A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization
by: Wei, Jiazhen, et al.
Published: (2025)