Cover Image

Prox-PEP: A Proximal Partial Exact Penalty Algorithm for Weakly Convex Stochastic Nonlinear Programming

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Lixin, Wang, Xingyu, Zhang, Liwei
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Splitting Proximal Point Algorithms for the Sum of Prox-Convex Functions
by: de Brito, Jose, et al.
Published: (2026)

Stochastic Approximation Proximal Subgradient Method for Stochastic Convex-Concave Minimax Optimization
by: Dai, Yu-Hong, et al.
Published: (2024)

An Exact Penalty Approach for Equality Constrained Optimization over a Convex Set
by: Xiao, Nachuan, et al.
Published: (2025)

A Quadratic-Approximation-Based Stochastic Approximation Method for Weakly Convex Stochastic Programming
by: Zhang, Yule, et al.
Published: (2026)

A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization
by: Pougkakiotis, Spyridon, et al.
Published: (2022)

A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization
by: Zhang, Yule, et al.
Published: (2026)

Dual Averaging With Non-Strongly-Convex Prox-Functions: New Analysis and Algorithm
by: Zhao, Renbo
Published: (2025)

Distributed Stochastic Proximal Algorithm on Riemannian Submanifolds for Weakly-convex Functions
by: Zhao, Jishu, et al.
Published: (2025)

Stability of Lagrangian Generalized Nash Equilibriums
by: Tang, Lixin, et al.
Published: (2026)

A Proximal Descent Method for Minimizing Weakly Convex Optimization
by: Liao, Feng-Yi, et al.
Published: (2025)

Prox-NAG-GS: A Semi-Implicit Proximal Method for Composite Optimization
by: Wiykiynyuy, Sikeh Gisele, et al.
Published: (2026)

Weak Proximal Newton Oracles for Composite Convex Optimization
by: Garber, Dan
Published: (2025)

Convergence Analysis of a Relative-type Inexact Preconditioned Proximal ALM for Convex Nonlinear Programming
by: Yang, Lei, et al.
Published: (2025)

Computing Binary Integer Programming via A New Exact Penalty Function
by: Li, Shuai, et al.
Published: (2025)

Minimization of Nonsmooth Weakly Convex Function over Prox-regular Set for Robust Low-rank Matrix Recovery
by: Kume, Keita, et al.
Published: (2025)

Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms
by: Huang, Minhui, et al.
Published: (2021)

Solving Chance Constrained Programs via a Penalty based Difference of Convex Approach
by: Li, Zhiping, et al.
Published: (2026)

Smoothed Proximal Lagrangian Method for Nonlinear Constrained Programs
by: Pu, Wenqiang, et al.
Published: (2024)

Exact Quadratic Penalty Function for Symplectic Eigenvalue Problem
by: Wang, Jiaqi, et al.
Published: (2026)

Hinge-Proximal Stochastic Gradient Methods for Convex Optimization with Functional Constraints
by: Rajoriya, Vaibhav, et al.
Published: (2025)

Decentralized Stochastic Constrained Optimization via Prox-Linearization
by: Sharma, Shivangi Dubey, et al.
Published: (2026)

A Proximal Variable Smoothing for Nonsmooth Minimization Involving Weakly Convex Composite with MIMO Application
by: Kume, Keita, et al.
Published: (2024)

Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
by: Hu, Quanqi, et al.
Published: (2024)

Convergence Analysis of the PAGE Stochastic Algorithm for Weakly Convex Finite-Sum Optimization
by: Condat, Laurent, et al.
Published: (2025)

Proximal Operators of Sorted Nonconvex Penalties
by: Gagneux, Anne, et al.
Published: (2025)

Exact Decentralized Optimization via Explicit $\ell_1$ Consensus Penalties
by: Wang, Hong
Published: (2025)

On the Convergence of Proximal Algorithms for Weakly-convex Min-max Optimization
by: Tapia-Riera, Guido, et al.
Published: (2026)

Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization
by: Guo, Luyao, et al.
Published: (2023)

Nonlinear Optimization Filters for Stochastic Time-Varying Convex Optimization
by: Simonetto, Andrea, et al.
Published: (2023)

A Stochastic Conjugate Subgradient Algorithm for Two-stage Stochastic Programming
by: Zhang, Di, et al.
Published: (2025)

Weak Closed-loop Solvability of Linear Quadratic Stochastic Optimal Control Problems with Partial Information
by: Li, Xun, et al.
Published: (2024)

Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
by: Pan, Xiaokang, et al.
Published: (2024)

Distributed Stochastic Optimization for Non-Smooth and Weakly Convex Problems under Heavy-Tailed Noise
by: Hu, Jun, et al.
Published: (2025)

Near-Optimal Algorithms for Convex Simple Bilevel Optimization under Weak Assumptions
by: Jiang, Rujun, et al.
Published: (2024)

The Stochastic Proximal Distance Algorithm
by: Jiang, Haoyu, et al.
Published: (2022)

A Proximal DC Algorithm for Sample Average Approximation of Chance Constrained Programming
by: Wang, Peng, et al.
Published: (2023)

Stochastic Control of Dividends with a Drawdown Penalty
by: Dudziak, Kira, et al.
Published: (2025)

An Inexact Bregman Proximal Difference-of-Convex Algorithm with Two Types of Relative Stopping Criteria
by: Yang, Lei, et al.
Published: (2024)

Inertial Proximal Difference-of-Convex Algorithm with Convergent Bregman Plug-and-Play for Nonconvex Imaging
by: Chow, Tsz Ching, et al.
Published: (2024)

Proximity Operator of the $\ell_1$ over $\ell_2$ Function
by: Shen, Lixin, et al.
Published: (2026)